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Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds | 85 | cvpr | 4 | 8 | 2023-06-03 02:43:17.044000 | https://github.com/plusmultiply/mprm | 39 | Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds | https://scholar.google.com/scholar?cluster=910022059005740712&hl=en&as_sdt=0,5 | 2 | 2,020 |
Global Texture Enhancement for Fake Face Detection in the Wild | 154 | cvpr | 2 | 0 | 2023-06-03 02:43:17.245000 | https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild | 5 | Global texture enhancement for fake face detection in the wild | https://scholar.google.com/scholar?cluster=3231131997984740300&hl=en&as_sdt=0,5 | 2 | 2,020 |
Towards Inheritable Models for Open-Set Domain Adaptation | 86 | cvpr | 0 | 0 | 2023-06-03 02:43:17.445000 | https://github.com/val-iisc/inheritune | 9 | Towards inheritable models for open-set domain adaptation | https://scholar.google.com/scholar?cluster=14243323555575752250&hl=en&as_sdt=0,5 | 15 | 2,020 |
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation | 135 | cvpr | 24 | 7 | 2023-06-03 02:43:17.645000 | https://github.com/luogen1996/MCN | 127 | Multi-task collaborative network for joint referring expression comprehension and segmentation | https://scholar.google.com/scholar?cluster=5698096580926132002&hl=en&as_sdt=0,5 | 6 | 2,020 |
Learning Depth-Guided Convolutions for Monocular 3D Object Detection | 193 | cvpr | 58 | 16 | 2023-06-03 02:43:17.846000 | https://github.com/dingmyu/D4LCN | 303 | Learning depth-guided convolutions for monocular 3d object detection | https://scholar.google.com/scholar?cluster=3992022189090691047&hl=en&as_sdt=0,5 | 9 | 2,020 |
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models | 56 | cvpr | 17 | 6 | 2023-06-03 02:43:18.047000 | https://github.com/giannisdaras/ylg | 133 | Your local GAN: Designing two dimensional local attention mechanisms for generative models | https://scholar.google.com/scholar?cluster=6691643820203733990&hl=en&as_sdt=0,3 | 6 | 2,020 |
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation | 122 | cvpr | 42 | 6 | 2023-06-03 02:43:18.248000 | https://github.com/alpc91/NICE-GAN-pytorch | 218 | Reusing discriminators for encoding: Towards unsupervised image-to-image translation | https://scholar.google.com/scholar?cluster=9474673267066460633&hl=en&as_sdt=0,5 | 6 | 2,020 |
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds | 94 | cvpr | 17 | 3 | 2023-06-03 02:43:18.449000 | https://github.com/raoyongming/PointGLR | 110 | Global-local bidirectional reasoning for unsupervised representation learning of 3d point clouds | https://scholar.google.com/scholar?cluster=14032550008017369503&hl=en&as_sdt=0,39 | 9 | 2,020 |
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation | 34 | cvpr | 7 | 4 | 2023-06-03 02:43:18.649000 | https://github.com/cai-mj/UMA | 31 | Generalizing hand segmentation in egocentric videos with uncertainty-guided model adaptation | https://scholar.google.com/scholar?cluster=14854195948022072622&hl=en&as_sdt=0,1 | 5 | 2,020 |
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition | 37 | cvpr | 7 | 0 | 2023-06-03 02:43:18.849000 | https://github.com/Tsingularity/PoseNorm_Fewshot | 40 | Revisiting pose-normalization for fine-grained few-shot recognition | https://scholar.google.com/scholar?cluster=14058402549089475889&hl=en&as_sdt=0,15 | 4 | 2,020 |
Polarized Reflection Removal With Perfect Alignment in the Wild | 55 | cvpr | 7 | 0 | 2023-06-03 02:43:19.049000 | https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment | 79 | Polarized reflection removal with perfect alignment in the wild | https://scholar.google.com/scholar?cluster=794202256015190214&hl=en&as_sdt=0,22 | 6 | 2,020 |
Weakly-Supervised Salient Object Detection via Scribble Annotations | 187 | cvpr | 21 | 11 | 2023-06-03 02:43:19.250000 | https://github.com/JingZhang617/Scribble_Saliency | 135 | Weakly-supervised salient object detection via scribble annotations | https://scholar.google.com/scholar?cluster=12565319032125907987&hl=en&as_sdt=0,5 | 6 | 2,020 |
Blur Aware Calibration of Multi-Focus Plenoptic Camera | 5 | cvpr | 1 | 0 | 2023-06-03 02:43:19.451000 | https://github.com/comsee-research/compote | 4 | Blur aware calibration of multi-focus plenoptic camera | https://scholar.google.com/scholar?cluster=3942639939193657522&hl=en&as_sdt=0,5 | 1 | 2,020 |
ASLFeat: Learning Local Features of Accurate Shape and Localization | 186 | cvpr | 32 | 14 | 2023-06-03 02:43:19.652000 | https://github.com/lzx551402/ASLFeat | 279 | Aslfeat: Learning local features of accurate shape and localization | https://scholar.google.com/scholar?cluster=12601324162617502372&hl=en&as_sdt=0,48 | 11 | 2,020 |
Correspondence Networks With Adaptive Neighbourhood Consensus | 57 | cvpr | 5 | 5 | 2023-06-03 02:43:19.852000 | https://github.com/ActiveVisionLab/ANCNet | 22 | Correspondence networks with adaptive neighbourhood consensus | https://scholar.google.com/scholar?cluster=12728206029677467282&hl=en&as_sdt=0,34 | 5 | 2,020 |
Video Super-Resolution With Temporal Group Attention | 120 | cvpr | 14 | 12 | 2023-06-03 02:43:20.052000 | https://github.com/junpan19/VSR_TGA | 122 | Video super-resolution with temporal group attention | https://scholar.google.com/scholar?cluster=7357555178809882671&hl=en&as_sdt=0,5 | 18 | 2,020 |
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping | 201 | cvpr | 97 | 3 | 2023-06-03 02:43:20.253000 | https://github.com/graspnet/graspnet-baseline | 250 | Graspnet-1billion: A large-scale benchmark for general object grasping | https://scholar.google.com/scholar?cluster=3928408788697064992&hl=en&as_sdt=0,22 | 7 | 2,020 |
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition | 325 | cvpr | 74 | 26 | 2023-06-03 02:43:20.454000 | https://github.com/HuangYG123/CurricularFace | 487 | Curricularface: adaptive curriculum learning loss for deep face recognition | https://scholar.google.com/scholar?cluster=17543857641780685133&hl=en&as_sdt=0,44 | 22 | 2,020 |
Meshed-Memory Transformer for Image Captioning | 671 | cvpr | 135 | 41 | 2023-06-03 02:43:20.654000 | https://github.com/aimagelab/meshed-memory-transformer | 450 | Meshed-memory transformer for image captioning | https://scholar.google.com/scholar?cluster=13804320630812586637&hl=en&as_sdt=0,33 | 14 | 2,020 |
HRank: Filter Pruning Using High-Rank Feature Map | 561 | cvpr | 46 | 24 | 2023-06-03 02:43:20.855000 | https://github.com/lmbxmu/HRank | 232 | Hrank: Filter pruning using high-rank feature map | https://scholar.google.com/scholar?cluster=497278027006601892&hl=en&as_sdt=0,5 | 12 | 2,020 |
On the Detection of Digital Face Manipulation | 322 | cvpr | 24 | 10 | 2023-06-03 02:43:21.055000 | https://github.com/JStehouwer/FFD_CVPR2020 | 94 | On the detection of digital face manipulation | https://scholar.google.com/scholar?cluster=10353666099603521621&hl=en&as_sdt=0,33 | 3 | 2,020 |
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting | 15 | cvpr | 2 | 1 | 2023-06-03 02:43:21.263000 | https://github.com/gsoh/HCNAF | 13 | Hcnaf: Hyper-conditioned neural autoregressive flow and its application for probabilistic occupancy map forecasting | https://scholar.google.com/scholar?cluster=15718044274423790528&hl=en&as_sdt=0,33 | 3 | 2,020 |
AANet: Adaptive Aggregation Network for Efficient Stereo Matching | 308 | cvpr | 96 | 3 | 2023-06-03 02:43:21.464000 | https://github.com/haofeixu/aanet | 467 | Aanet: Adaptive aggregation network for efficient stereo matching | https://scholar.google.com/scholar?cluster=13511423890414176773&hl=en&as_sdt=0,31 | 14 | 2,020 |
Unbiased Scene Graph Generation From Biased Training | 424 | cvpr | 216 | 108 | 2023-06-03 02:43:21.664000 | https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch | 907 | Unbiased scene graph generation from biased training | https://scholar.google.com/scholar?cluster=6204976209446651450&hl=en&as_sdt=0,3 | 14 | 2,020 |
Analyzing and Improving the Image Quality of StyleGAN | 3,784 | cvpr | 2,493 | 26 | 2023-06-03 02:43:21.865000 | https://github.com/NVlabs/stylegan2 | 10,430 | Analyzing and improving the image quality of stylegan | https://scholar.google.com/scholar?cluster=17911154894679089420&hl=en&as_sdt=0,33 | 370 | 2,020 |
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces | 3 | cvpr | 1 | 1 | 2023-06-03 02:43:22.065000 | https://github.com/BGU-CS-VIL/JA-POLS | 17 | JA-POLS: a moving-camera background model via joint alignment and partially-overlapping local subspaces | https://scholar.google.com/scholar?cluster=9131716502132904159&hl=en&as_sdt=0,44 | 6 | 2,020 |
Proxy Anchor Loss for Deep Metric Learning | 272 | cvpr | 60 | 2 | 2023-06-03 02:43:22.266000 | https://github.com/tjddus9597/Proxy-Anchor-CVPR2020 | 288 | Proxy anchor loss for deep metric learning | https://scholar.google.com/scholar?cluster=2276525475394220717&hl=en&as_sdt=0,5 | 9 | 2,020 |
Learning to Dress 3D People in Generative Clothing | 204 | cvpr | 40 | 4 | 2023-06-03 02:43:22.466000 | https://github.com/QianliM/CAPE | 276 | Learning to dress 3d people in generative clothing | https://scholar.google.com/scholar?cluster=1344377148672721303&hl=en&as_sdt=0,47 | 13 | 2,020 |
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting | 222 | cvpr | 67 | 27 | 2023-06-03 02:43:22.667000 | https://github.com/yaoyao-liu/mnemonics | 420 | Mnemonics training: Multi-class incremental learning without forgetting | https://scholar.google.com/scholar?cluster=10477002989404719589&hl=en&as_sdt=0,48 | 13 | 2,020 |
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs | 139 | cvpr | 6 | 2 | 2023-06-03 02:43:22.868000 | https://github.com/UMBCvision/Universal-Litmus-Patterns | 39 | Universal litmus patterns: Revealing backdoor attacks in cnns | https://scholar.google.com/scholar?cluster=17667068421427055111&hl=en&as_sdt=0,5 | 4 | 2,020 |
Orderless Recurrent Models for Multi-Label Classification | 66 | cvpr | 11 | 5 | 2023-06-03 02:43:23.069000 | https://github.com/voyazici/orderless-rnn-classification | 41 | Orderless recurrent models for multi-label classification | https://scholar.google.com/scholar?cluster=8167430018987015934&hl=en&as_sdt=0,18 | 3 | 2,020 |
Extreme Relative Pose Network Under Hybrid Representations | 23 | cvpr | 4 | 1 | 2023-06-03 02:43:23.269000 | https://github.com/SimingYan/Hybrid_Relative_Pose | 23 | Extreme relative pose network under hybrid representations | https://scholar.google.com/scholar?cluster=6832963235795817967&hl=en&as_sdt=0,39 | 4 | 2,020 |
Learning When and Where to Zoom With Deep Reinforcement Learning | 54 | cvpr | 8 | 3 | 2023-06-03 02:43:23.470000 | https://github.com/ermongroup/PatchDrop | 61 | Learning when and where to zoom with deep reinforcement learning | https://scholar.google.com/scholar?cluster=15538408380292510208&hl=en&as_sdt=0,18 | 8 | 2,020 |
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline | 170 | cvpr | 86 | 28 | 2023-06-03 02:43:23.675000 | https://github.com/alex04072000/SingleHDR | 480 | Single-image HDR reconstruction by learning to reverse the camera pipeline | https://scholar.google.com/scholar?cluster=6892932677303968289&hl=en&as_sdt=0,5 | 20 | 2,020 |
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing | 145 | cvpr | 59 | 19 | 2023-06-03 02:43:23.877000 | https://github.com/clks-wzz/FAS-SGTD | 222 | Deep spatial gradient and temporal depth learning for face anti-spoofing | https://scholar.google.com/scholar?cluster=17425442018601677108&hl=en&as_sdt=0,5 | 11 | 2,020 |
Densely Connected Search Space for More Flexible Neural Architecture Search | 106 | cvpr | 48 | 5 | 2023-06-03 02:43:24.077000 | https://github.com/JaminFong/DenseNAS | 292 | Densely connected search space for more flexible neural architecture search | https://scholar.google.com/scholar?cluster=11388886948472789017&hl=en&as_sdt=0,5 | 9 | 2,020 |
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations | 5 | cvpr | 1 | 9 | 2023-06-03 02:43:24.278000 | https://github.com/dmt-lab/learning-to-observe | 2 | Learning to observe: Approximating human perceptual thresholds for detection of suprathreshold image transformations | https://scholar.google.com/scholar?cluster=40488271229020218&hl=en&as_sdt=0,5 | 3 | 2,020 |
Instance-Aware Image Colorization | 159 | cvpr | 138 | 31 | 2023-06-03 02:43:24.481000 | https://github.com/ericsujw/InstColorization | 668 | Instance-aware image colorization | https://scholar.google.com/scholar?cluster=10980582552564282229&hl=en&as_sdt=0,18 | 24 | 2,020 |
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks | 179 | cvpr | 39 | 18 | 2023-06-03 02:43:24.681000 | https://github.com/YoYo000/BlendedMVS | 430 | Blendedmvs: A large-scale dataset for generalized multi-view stereo networks | https://scholar.google.com/scholar?cluster=15858776872498696637&hl=en&as_sdt=0,47 | 27 | 2,020 |
Zero-Assignment Constraint for Graph Matching With Outliers | 15 | cvpr | 3 | 7 | 2023-06-03 02:43:24.883000 | https://github.com/wangfudong/ZAC_GM | 12 | Zero-assignment constraint for graph matching with outliers | https://scholar.google.com/scholar?cluster=4499518257198248706&hl=en&as_sdt=0,5 | 3 | 2,020 |
STEFANN: Scene Text Editor Using Font Adaptive Neural Network | 33 | cvpr | 40 | 8 | 2023-06-03 02:43:25.084000 | https://github.com/prasunroy/stefann | 230 | STEFANN: scene text editor using font adaptive neural network | https://scholar.google.com/scholar?cluster=15462430618860092685&hl=en&as_sdt=0,23 | 11 | 2,020 |
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild" | 116 | cvpr | 10 | 0 | 2023-06-03 02:43:25.284000 | https://github.com/lattas/avatarme | 124 | AvatarMe: Realistically Renderable 3D Facial Reconstruction" in-the-wild" | https://scholar.google.com/scholar?cluster=7483829475057164721&hl=en&as_sdt=0,33 | 10 | 2,020 |
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation | 122 | cvpr | 90 | 5 | 2023-06-03 02:43:25.485000 | https://github.com/saic-vul/fbrs_interactive_segmentation | 541 | f-brs: Rethinking backpropagating refinement for interactive segmentation | https://scholar.google.com/scholar?cluster=5366626130215217097&hl=en&as_sdt=0,5 | 15 | 2,020 |
Generalized Product Quantization Network for Semi-Supervised Image Retrieval | 32 | cvpr | 11 | 1 | 2023-06-03 02:43:25.685000 | https://github.com/youngkyunJang/GPQ | 64 | Generalized product quantization network for semi-supervised image retrieval | https://scholar.google.com/scholar?cluster=661030767477922706&hl=en&as_sdt=0,5 | 3 | 2,020 |
Extremely Dense Point Correspondences Using a Learned Feature Descriptor | 33 | cvpr | 10 | 1 | 2023-06-03 02:43:25.886000 | https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch | 70 | Extremely dense point correspondences using a learned feature descriptor | https://scholar.google.com/scholar?cluster=17939981704094745202&hl=en&as_sdt=0,5 | 8 | 2,020 |
Local-Global Video-Text Interactions for Temporal Grounding | 160 | cvpr | 19 | 12 | 2023-06-03 02:43:26.096000 | https://github.com/JonghwanMun/LGI4temporalgrounding | 115 | Local-global video-text interactions for temporal grounding | https://scholar.google.com/scholar?cluster=9701700386474032090&hl=en&as_sdt=0,5 | 4 | 2,020 |
Gate-Shift Networks for Video Action Recognition | 133 | cvpr | 17 | 14 | 2023-06-03 02:43:26.297000 | https://github.com/swathikirans/GSM | 149 | Gate-shift networks for video action recognition | https://scholar.google.com/scholar?cluster=17859780477041675049&hl=en&as_sdt=0,5 | 8 | 2,020 |
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task | 58 | cvpr | 10 | 2 | 2023-06-03 02:43:26.498000 | https://github.com/aritra0593/Reinforced-Feature-Points | 63 | Reinforced feature points: Optimizing feature detection and description for a high-level task | https://scholar.google.com/scholar?cluster=15988601049233038345&hl=en&as_sdt=0,33 | 2 | 2,020 |
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps | 112 | cvpr | 24 | 0 | 2023-06-03 02:43:26.699000 | https://github.com/pxiangwu/MotionNet | 162 | Motionnet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps | https://scholar.google.com/scholar?cluster=8105858893779164301&hl=en&as_sdt=0,20 | 15 | 2,020 |
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation | 116 | cvpr | 49 | 22 | 2023-06-03 02:43:26.900000 | https://github.com/lliuz/ARFlow | 232 | Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation | https://scholar.google.com/scholar?cluster=3875015729190234590&hl=en&as_sdt=0,33 | 6 | 2,020 |
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet | 123 | cvpr | 41 | 22 | 2023-06-03 02:43:27.100000 | https://github.com/B1ueber2y/TrianFlow | 248 | Towards better generalization: Joint depth-pose learning without posenet | https://scholar.google.com/scholar?cluster=3593641350876916040&hl=en&as_sdt=0,47 | 10 | 2,020 |
D2Det: Towards High Quality Object Detection and Instance Segmentation | 140 | cvpr | 85 | 35 | 2023-06-03 02:43:27.301000 | https://github.com/JialeCao001/D2Det | 291 | D2det: Towards high quality object detection and instance segmentation | https://scholar.google.com/scholar?cluster=15371804291623005317&hl=en&as_sdt=0,33 | 12 | 2,020 |
Quasi-Newton Solver for Robust Non-Rigid Registration | 28 | cvpr | 44 | 7 | 2023-06-03 02:43:27.501000 | https://github.com/Juyong/Fast_RNRR | 219 | Quasi-newton solver for robust non-rigid registration | https://scholar.google.com/scholar?cluster=17224988699653097008&hl=en&as_sdt=0,5 | 11 | 2,020 |
Rethinking Classification and Localization for Object Detection | 380 | cvpr | 10 | 6 | 2023-06-03 02:43:27.702000 | https://github.com/wuyuebupt/doubleheadsrcnn | 69 | Rethinking classification and localization for object detection | https://scholar.google.com/scholar?cluster=5261265231167224269&hl=en&as_sdt=0,1 | 2 | 2,020 |
Weakly-Supervised Action Localization by Generative Attention Modeling | 128 | cvpr | 21 | 13 | 2023-06-03 02:43:27.902000 | https://github.com/bfshi/DGAM-Weakly-Supervised-Action-Localization | 135 | Weakly-supervised action localization by generative attention modeling | https://scholar.google.com/scholar?cluster=11940490568711834866&hl=en&as_sdt=0,5 | 5 | 2,020 |
Multi-Scale Progressive Fusion Network for Single Image Deraining | 356 | cvpr | 32 | 19 | 2023-06-03 02:43:28.103000 | https://github.com/kuihua/MSPFN | 138 | Multi-scale progressive fusion network for single image deraining | https://scholar.google.com/scholar?cluster=16872700392789229768&hl=en&as_sdt=0,5 | 9 | 2,020 |
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data | 54 | cvpr | 15 | 0 | 2023-06-03 02:43:28.304000 | https://github.com/tommy-qichang/AsynDGAN | 37 | Synthetic learning: Learn from distributed asynchronized discriminator gan without sharing medical image data | https://scholar.google.com/scholar?cluster=17792693692322986186&hl=en&as_sdt=0,33 | 4 | 2,020 |
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image | 77 | cvpr | 7 | 3 | 2023-06-03 02:43:28.506000 | https://github.com/paschalidoud/hierarchical_primitives | 85 | Learning unsupervised hierarchical part decomposition of 3d objects from a single rgb image | https://scholar.google.com/scholar?cluster=8614634556901055278&hl=en&as_sdt=0,5 | 14 | 2,020 |
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization | 97 | cvpr | 9 | 2 | 2023-06-03 02:43:28.707000 | https://github.com/jingjin25/LFSSR-ATO | 44 | Light field spatial super-resolution via deep combinatorial geometry embedding and structural consistency regularization | https://scholar.google.com/scholar?cluster=8730527407456817975&hl=en&as_sdt=0,23 | 4 | 2,020 |
Label Decoupling Framework for Salient Object Detection | 191 | cvpr | 16 | 9 | 2023-06-03 02:43:28.907000 | https://github.com/weijun88/LDF | 101 | Label decoupling framework for salient object detection | https://scholar.google.com/scholar?cluster=11889271221051428016&hl=en&as_sdt=0,5 | 5 | 2,020 |
Auto-Encoding Twin-Bottleneck Hashing | 88 | cvpr | 17 | 4 | 2023-06-03 02:43:29.108000 | https://github.com/ymcidence/TBH | 84 | Auto-encoding twin-bottleneck hashing | https://scholar.google.com/scholar?cluster=4685118711249456149&hl=en&as_sdt=0,23 | 5 | 2,020 |
Recurrent Feature Reasoning for Image Inpainting | 257 | cvpr | 76 | 25 | 2023-06-03 02:43:29.308000 | https://github.com/jingyuanli001/RFR-Inpainting | 319 | Recurrent feature reasoning for image inpainting | https://scholar.google.com/scholar?cluster=2684440541588567552&hl=en&as_sdt=0,5 | 11 | 2,020 |
Learning to Super Resolve Intensity Images From Events | 47 | cvpr | 11 | 0 | 2023-06-03 02:43:29.509000 | https://github.com/gistvision/e2sri | 47 | Learning to super resolve intensity images from events | https://scholar.google.com/scholar?cluster=17220003184725413481&hl=en&as_sdt=0,23 | 6 | 2,020 |
Harmonizing Transferability and Discriminability for Adapting Object Detectors | 172 | cvpr | 23 | 22 | 2023-06-03 02:43:29.709000 | https://github.com/chaoqichen/HTCN | 112 | Harmonizing transferability and discriminability for adapting object detectors | https://scholar.google.com/scholar?cluster=10593080449633610254&hl=en&as_sdt=0,23 | 3 | 2,020 |
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition | 53 | cvpr | 21 | 6 | 2023-06-03 02:43:29.909000 | https://github.com/JDAI-CV/LIO | 108 | Look-into-object: Self-supervised structure modeling for object recognition | https://scholar.google.com/scholar?cluster=8508821443655139887&hl=en&as_sdt=0,48 | 11 | 2,020 |
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction | 161 | cvpr | 87 | 18 | 2023-06-03 02:43:30.110000 | https://github.com/zhuhao-nju/facescape | 715 | Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction | https://scholar.google.com/scholar?cluster=14954985719512682305&hl=en&as_sdt=0,34 | 35 | 2,020 |
Inferring Attention Shift Ranks of Objects for Image Saliency | 25 | cvpr | 4 | 6 | 2023-06-03 02:43:30.310000 | https://github.com/SirisAvishek/Attention_Shift_Ranks | 24 | Inferring attention shift ranks of objects for image saliency | https://scholar.google.com/scholar?cluster=17403422873244373547&hl=en&as_sdt=0,31 | 7 | 2,020 |
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS | 58 | cvpr | 16 | 8 | 2023-06-03 02:43:30.511000 | https://github.com/longcw/crossview_3d_pose_tracking | 123 | Cross-view tracking for multi-human 3d pose estimation at over 100 fps | https://scholar.google.com/scholar?cluster=1132668862084573724&hl=en&as_sdt=0,19 | 12 | 2,020 |
PADS: Policy-Adapted Sampling for Visual Similarity Learning | 43 | cvpr | 9 | 0 | 2023-06-03 02:43:30.712000 | https://github.com/Confusezius/CVPR2020_PADS | 58 | Pads: Policy-adapted sampling for visual similarity learning | https://scholar.google.com/scholar?cluster=14756706924647760022&hl=en&as_sdt=0,31 | 6 | 2,020 |
Exploring Categorical Regularization for Domain Adaptive Object Detection | 205 | cvpr | 25 | 15 | 2023-06-03 02:43:30.912000 | https://github.com/Megvii-Nanjing/CR-DA-DET | 114 | Exploring categorical regularization for domain adaptive object detection | https://scholar.google.com/scholar?cluster=12709529115468914461&hl=en&as_sdt=0,3 | 12 | 2,020 |
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery | 130 | cvpr | 20 | 1 | 2023-06-03 02:43:31.114000 | https://github.com/Z-Zheng/FarSeg | 98 | Foreground-aware relation network for geospatial object segmentation in high spatial resolution remote sensing imagery | https://scholar.google.com/scholar?cluster=4517467735811473630&hl=en&as_sdt=0,10 | 2 | 2,020 |
Effectively Unbiased FID and Inception Score and Where to Find Them | 84 | cvpr | 4 | 2 | 2023-06-03 02:43:31.314000 | https://github.com/mchong6/FID_IS_infinity | 38 | Effectively unbiased fid and inception score and where to find them | https://scholar.google.com/scholar?cluster=985387797474089148&hl=en&as_sdt=0,5 | 6 | 2,020 |
Controllable Orthogonalization in Training DNNs | 34 | cvpr | 9 | 1 | 2023-06-03 02:43:31.517000 | https://github.com/huangleiBuaa/ONI | 20 | Controllable orthogonalization in training dnns | https://scholar.google.com/scholar?cluster=18180974355493865351&hl=en&as_sdt=0,48 | 5 | 2,020 |
Discovering Human Interactions With Novel Objects via Zero-Shot Learning | 31 | cvpr | 6 | 8 | 2023-06-03 02:43:31.718000 | https://github.com/scwangdyd/zero_shot_hoi | 38 | Discovering human interactions with novel objects via zero-shot learning | https://scholar.google.com/scholar?cluster=8518789012755093875&hl=en&as_sdt=0,5 | 2 | 2,020 |
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations | 218 | cvpr | 30 | 12 | 2023-06-03 02:43:31.919000 | https://github.com/cuishuhao/BNM | 248 | Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations | https://scholar.google.com/scholar?cluster=17259672897391511955&hl=en&as_sdt=0,5 | 10 | 2,020 |
Visual Commonsense R-CNN | 183 | cvpr | 58 | 11 | 2023-06-03 02:43:32.138000 | https://github.com/Wangt-CN/VC-R-CNN | 335 | Visual commonsense r-cnn | https://scholar.google.com/scholar?cluster=6886229776034162585&hl=en&as_sdt=0,26 | 14 | 2,020 |
4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras | 54 | cvpr | 30 | 16 | 2023-06-03 02:43:32.338000 | https://github.com/zhangyux15/4d_association | 162 | 4D association graph for realtime multi-person motion capture using multiple video cameras | https://scholar.google.com/scholar?cluster=13217754809285729497&hl=en&as_sdt=0,33 | 14 | 2,020 |
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules | 408 | cvpr | 32 | 7 | 2023-06-03 02:43:32.539000 | https://github.com/ZhengxueCheng/Learned-Image-Compression-with-GMM-and-Attention | 143 | Learned image compression with discretized gaussian mixture likelihoods and attention modules | https://scholar.google.com/scholar?cluster=2321426178797084426&hl=en&as_sdt=0,10 | 4 | 2,020 |
UNAS: Differentiable Architecture Search Meets Reinforcement Learning | 27 | cvpr | 6 | 2 | 2023-06-03 02:43:32.739000 | https://github.com/NVlabs/unas | 54 | Unas: Differentiable architecture search meets reinforcement learning | https://scholar.google.com/scholar?cluster=12269377839123865738&hl=en&as_sdt=0,44 | 14 | 2,020 |
Meshlet Priors for 3D Mesh Reconstruction | 38 | cvpr | 2 | 3 | 2023-06-03 02:43:32.942000 | https://github.com/NVlabs/meshlets | 42 | Meshlet priors for 3d mesh reconstruction | https://scholar.google.com/scholar?cluster=3179640149370686547&hl=en&as_sdt=0,33 | 22 | 2,020 |
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking | 66 | cvpr | 29 | 3 | 2023-06-03 02:43:33.145000 | https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking | 95 | Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking | https://scholar.google.com/scholar?cluster=490422468766489983&hl=en&as_sdt=0,33 | 5 | 2,020 |
Semantic Drift Compensation for Class-Incremental Learning | 176 | cvpr | 34 | 9 | 2023-06-03 02:43:33.346000 | https://github.com/yulu0724/SDC-IL | 110 | Semantic drift compensation for class-incremental learning | https://scholar.google.com/scholar?cluster=12272441645660000606&hl=en&as_sdt=0,5 | 3 | 2,020 |
More Grounded Image Captioning by Distilling Image-Text Matching Model | 108 | cvpr | 7 | 5 | 2023-06-03 02:43:33.547000 | https://github.com/YuanEZhou/Grounded-Image-Captioning | 59 | More grounded image captioning by distilling image-text matching model | https://scholar.google.com/scholar?cluster=9107893426978040607&hl=en&as_sdt=0,10 | 5 | 2,020 |
X-Linear Attention Networks for Image Captioning | 401 | cvpr | 54 | 4 | 2023-06-03 02:43:33.747000 | https://github.com/Panda-Peter/image-captioning | 254 | X-linear attention networks for image captioning | https://scholar.google.com/scholar?cluster=9240812457903545794&hl=en&as_sdt=0,5 | 4 | 2,020 |
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection | 248 | cvpr | 14 | 0 | 2023-06-03 02:43:33.948000 | https://github.com/kerenfu/JLDCF | 68 | JL-DCF: Joint learning and densely-cooperative fusion framework for RGB-D salient object detection | https://scholar.google.com/scholar?cluster=12168762254626534005&hl=en&as_sdt=0,42 | 6 | 2,020 |
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection | 143 | cvpr | 35 | 6 | 2023-06-03 02:43:34.148000 | https://github.com/mileyan/pseudo-LiDAR_e2e | 177 | End-to-end pseudo-lidar for image-based 3d object detection | https://scholar.google.com/scholar?cluster=3540971209064778234&hl=en&as_sdt=0,5 | 14 | 2,020 |
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions | 48 | cvpr | 7 | 4 | 2023-06-03 02:43:34.349000 | https://github.com/facebookresearch/you2me | 48 | You2me: Inferring body pose in egocentric video via first and second person interactions | https://scholar.google.com/scholar?cluster=7563071385807951312&hl=en&as_sdt=0,23 | 9 | 2,020 |
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks | 329 | cvpr | 28 | 1 | 2023-06-03 02:43:34.550000 | https://github.com/HaohanWang/HFC | 220 | High-frequency component helps explain the generalization of convolutional neural networks | https://scholar.google.com/scholar?cluster=8901539838953056872&hl=en&as_sdt=0,36 | 4 | 2,020 |
ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network | 232 | cvpr | 636 | 291 | 2023-06-03 02:43:34.752000 | https://github.com/aim-uofa/AdelaiDet | 3,150 | Abcnet: Real-time scene text spotting with adaptive bezier-curve network | https://scholar.google.com/scholar?cluster=4041385490106103036&hl=en&as_sdt=0,5 | 85 | 2,020 |
Attention-Based Context Aware Reasoning for Situation Recognition | 9 | cvpr | 4 | 0 | 2023-06-03 02:43:34.952000 | https://github.com/thilinicooray/context-aware-reasoning-for-sr | 18 | Attention-based context aware reasoning for situation recognition | https://scholar.google.com/scholar?cluster=8136341880060783104&hl=en&as_sdt=0,1 | 2 | 2,020 |
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images | 91 | cvpr | 112 | 32 | 2023-06-03 02:43:35.152000 | https://github.com/Hangz-nju-cuhk/Rotate-and-Render | 445 | Rotate-and-render: Unsupervised photorealistic face rotation from single-view images | https://scholar.google.com/scholar?cluster=2882155676302627088&hl=en&as_sdt=0,39 | 16 | 2,020 |
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation | 59 | cvpr | 13 | 0 | 2023-06-03 02:43:35.353000 | https://github.com/CM-BF/FeatureFlow | 152 | Featureflow: Robust video interpolation via structure-to-texture generation | https://scholar.google.com/scholar?cluster=17611134410867592389&hl=en&as_sdt=0,33 | 5 | 2,020 |
Scene-Adaptive Video Frame Interpolation via Meta-Learning | 42 | cvpr | 13 | 4 | 2023-06-03 02:43:35.564000 | https://github.com/myungsub/meta-interpolation | 77 | Scene-adaptive video frame interpolation via meta-learning | https://scholar.google.com/scholar?cluster=2749309242157904592&hl=en&as_sdt=0,5 | 12 | 2,020 |
Background Matting: The World Is Your Green Screen | 138 | cvpr | 662 | 44 | 2023-06-03 02:43:35.765000 | https://github.com/senguptaumd/Background-Matting | 4,680 | Background matting: The world is your green screen | https://scholar.google.com/scholar?cluster=11725748042291384781&hl=en&as_sdt=0,11 | 145 | 2,020 |
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation | 30 | cvpr | 10 | 2 | 2023-06-03 02:43:35.965000 | https://github.com/koutilya40192/SharinGAN | 25 | Sharingan: Combining synthetic and real data for unsupervised geometry estimation | https://scholar.google.com/scholar?cluster=2052042029863774000&hl=en&as_sdt=0,5 | 2 | 2,020 |
Explainable Object-Induced Action Decision for Autonomous Vehicles | 46 | cvpr | 8 | 2 | 2023-06-03 02:43:36.165000 | https://github.com/Twizwei/bddoia_project | 21 | Explainable object-induced action decision for autonomous vehicles | https://scholar.google.com/scholar?cluster=6298956570811899330&hl=en&as_sdt=0,14 | 3 | 2,020 |
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model | 44 | cvpr | 0 | 0 | 2023-06-03 02:43:36.366000 | https://github.com/dwang181/active-mixup | 21 | Neural networks are more productive teachers than human raters: Active mixup for data-efficient knowledge distillation from a blackbox model | https://scholar.google.com/scholar?cluster=13638644832048062910&hl=en&as_sdt=0,34 | 5 | 2,020 |
Deep Residual Flow for Out of Distribution Detection | 64 | cvpr | 4 | 0 | 2023-06-03 02:43:36.568000 | https://github.com/EvZissel/Residual-Flow | 26 | Deep residual flow for out of distribution detection | https://scholar.google.com/scholar?cluster=14899605525797830999&hl=en&as_sdt=0,5 | 2 | 2,020 |
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions | 188 | cvpr | 25 | 5 | 2023-06-03 02:43:36.769000 | https://github.com/cc-hpc-itwm/UpConv | 123 | Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions | https://scholar.google.com/scholar?cluster=18044048085015580055&hl=en&as_sdt=0,5 | 6 | 2,020 |
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition | 287 | cvpr | 50 | 22 | 2023-06-03 02:43:36.970000 | https://github.com/microsoft/SGN | 158 | Semantics-guided neural networks for efficient skeleton-based human action recognition | https://scholar.google.com/scholar?cluster=2966382181393438868&hl=en&as_sdt=0,33 | 10 | 2,020 |