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Collections including paper arxiv:2404.06773

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29
Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9 • 62
OmniFusion Technical Report

Paper • 2404.06212 • Published Apr 9 • 73
Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10 • 14

Papers - Training - Detailed Appendices

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Image - Training - AS2D RoPE and SwiGLU

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Training - Image - Causal Self Attention

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Image - Decoders - ViT

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Image - Decoders

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Image - DeiT

Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT

Paper • 2401.03302 • Published Jan 6 • 1
MLP Can Be A Good Transformer Learner

Paper • 2404.05657 • Published Apr 8 • 1
Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR

Paper • 2401.12513 • Published Jan 23 • 1
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

Paper • 2404.02900 • Published Apr 3 • 1

Papers - University - Hong Kong University of Science and Te

Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss

Paper • 2404.02731 • Published Apr 3 • 1
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis

Paper • 2404.03204 • Published Apr 4 • 7
Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

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