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Collections:
- Name: Mask R-CNN
Metadata:
Training Data: nuImages
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x TITAN Xp
Architecture:
- Softmax
- RPN
- Convolution
- Dense Connections
- FPN
- ResNet
- RoIAlign
Paper:
URL: https://arxiv.org/abs/1703.06870v3
Title: "Mask R-CNN"
README: configs/nuimages/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/mask_rcnn.py#L6
Version: v2.0.0
Models:
- Name: mask-rcnn_r50_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r50_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 7.4
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 47.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 38.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_1x_nuim/mask_rcnn_r50_fpn_1x_nuim_20201008_195238-e99f5182.pth
- Name: mask-rcnn_r50_fpn_coco-2x_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r50_fpn_coco-2x_1x_nuim.py
Metadata:
Training Memory (GB): 7.4
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 49.7
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 40.5
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_coco-2x_1x_nuim/mask_rcnn_r50_fpn_coco-2x_1x_nuim_20201008_195238-b1742a60.pth
- Name: mask-rcnn_r50_caffe_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 7.0
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 47.7
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 38.2
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_1x_nuim/
- Name: mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim.py
Metadata:
Training Memory (GB): 7.0
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 49.9
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 40.8
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim_20201008_195305-661a992e.pth
- Name: mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim.py
Metadata:
Training Memory (GB): 7.0
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 50.6
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 41.3
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim_20201009_125002-5529442c.pth
- Name: mask-rcnn_r101_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_r101_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 10.9
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 48.9
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 39.1
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r101_fpn_1x_nuim/mask_rcnn_r101_fpn_1x_nuim_20201024_134803-65c7623a.pth
- Name: mask-rcnn_x101_32x4d_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/mask-rcnn_x101_32x4d_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 13.3
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 50.4
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 40.5
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_x101_32x4d_fpn_1x_nuim/mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135741-b699ab37.pth
- Name: cascade-mask-rcnn_r50_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 8.9
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 50.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 40.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_1x_nuim/cascade_mask_rcnn_r50_fpn_1x_nuim_20201008_195342-1147c036.pth
- Name: cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim.py
Metadata:
Training Memory (GB): 8.9
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 52.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 42.2
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim_20201009_124158-ad0540e3.pth
- Name: cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim.py
Metadata:
Training Memory (GB): 8.9
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 52.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 42.2
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim_20201009_124951-40963960.pth
- Name: cascade-mask-rcnn_r101_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/cascade-mask-rcnn_r101_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 12.5
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 51.5
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 40.7
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r101_fpn_1x_nuim/cascade_mask_rcnn_r101_fpn_1x_nuim_20201024_134804-45215b1e.pth
- Name: cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim.py
Metadata:
Training Memory (GB): 14.9
Training Resources: 8x TITAN Xp
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 52.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 41.6
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135753-e0e49778.pth
- Name: htc_r50_fpn_coco-20e_1x_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/htc_r50_fpn_coco-20e_1x_nuim.py
Metadata:
Training Memory (GB): 11.6
Training Resources: 8x V100 GPUs
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 53.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 43.8
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_1x_nuim/htc_r50_fpn_coco-20e_1x_nuim_20201010_070203-0b53a65e.pth
- Name: htc_r50_fpn_coco-20e_20e_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/htc_r50_fpn_coco-20e_20e_nuim.py
Metadata:
Training Memory (GB): 11.6
Training Resources: 8x V100 GPUs
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 54.8
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 44.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_20e_nuim/htc_r50_fpn_coco-20e_20e_nuim_20201008_211415-d6c60a2c.pth
- Name: htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim
In Collection: Mask R-CNN
Config: configs/nuimages/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim.py
Metadata:
Training Memory (GB): 13.3
Training Resources: 8x V100 GPUs
Results:
- Task: Object Detection
Dataset: nuImages
Metrics:
Box AP: 57.3
- Task: Instance Segmentation
Dataset: nuImages
Metrics:
Mask AP: 46.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim_20201008_211222-0b16ac4b.pth
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