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