Collections: - Name: Mask Scoring R-CNN Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 8x NVIDIA V100 GPUs Architecture: - RPN - FPN - ResNet - RoIAlign Paper: https://arxiv.org/abs/1903.00241 README: configs/ms_rcnn/README.md Models: - Name: ms_rcnn_r50_caffe_fpn_1x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 4.5 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 38.2 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 36.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth - Name: ms_rcnn_r50_caffe_fpn_2x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 38.8 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 36.3 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco/ms_rcnn_r50_caffe_fpn_2x_coco_bbox_mAP-0.388__segm_mAP-0.363_20200506_004738-ee87b137.pth - Name: ms_rcnn_r101_caffe_fpn_1x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco.py Metadata: Training Memory (GB): 6.5 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.4 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 37.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco/ms_rcnn_r101_caffe_fpn_1x_coco_bbox_mAP-0.404__segm_mAP-0.376_20200506_004755-b9b12a37.pth - Name: ms_rcnn_r101_caffe_fpn_2x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.1 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 38.1 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco/ms_rcnn_r101_caffe_fpn_2x_coco_bbox_mAP-0.411__segm_mAP-0.381_20200506_011134-5f3cc74f.pth - Name: ms_rcnn_x101_32x4d_fpn_1x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 7.9 inference time (s/im): 0.09091 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.8 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 38.7 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco/ms_rcnn_x101_32x4d_fpn_1x_coco_20200206-81fd1740.pth - Name: ms_rcnn_x101_64x4d_fpn_1x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco.py Metadata: Training Memory (GB): 11.0 inference time (s/im): 0.125 Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.0 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 39.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco/ms_rcnn_x101_64x4d_fpn_1x_coco_20200206-86ba88d2.pth - Name: ms_rcnn_x101_64x4d_fpn_2x_coco In Collection: Mask Scoring R-CNN Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py Metadata: Training Memory (GB): 11.0 inference time (s/im): 0.125 Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 42.6 - Task: Instance Segmentation Dataset: COCO Metrics: mask AP: 39.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco/ms_rcnn_x101_64x4d_fpn_2x_coco_20200308-02a445e2.pth