|
Collections: |
|
- Name: Weight Standardization |
|
Metadata: |
|
Training Data: COCO |
|
Training Techniques: |
|
- SGD with Momentum |
|
- Weight Decay |
|
Training Resources: 8x V100 GPUs |
|
Architecture: |
|
- Group Normalization |
|
- Weight Standardization |
|
Paper: |
|
URL: https://arxiv.org/abs/1903.10520 |
|
Title: 'Weight Standardization' |
|
README: configs/gn+ws/README.md |
|
Code: |
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py |
|
Version: v2.0.0 |
|
|
|
Models: |
|
- Name: faster_rcnn_r50_fpn_gn_ws-all_1x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 5.9 |
|
inference time (ms/im): |
|
- value: 85.47 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 39.7 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco/faster_rcnn_r50_fpn_gn_ws-all_1x_coco_20200130-613d9fe2.pth |
|
|
|
- Name: faster_rcnn_r101_fpn_gn_ws-all_1x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/faster_rcnn_r101_fpn_gn_ws-all_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 8.9 |
|
inference time (ms/im): |
|
- value: 111.11 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 41.7 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/faster_rcnn_r101_fpn_gn_ws-all_1x_coco/faster_rcnn_r101_fpn_gn_ws-all_1x_coco_20200205-a93b0d75.pth |
|
|
|
- Name: faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 7.0 |
|
inference time (ms/im): |
|
- value: 97.09 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 40.7 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco/faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco_20200203-839c5d9d.pth |
|
|
|
- Name: faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 10.8 |
|
inference time (ms/im): |
|
- value: 131.58 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.1 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco/faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco_20200212-27da1bc2.pth |
|
|
|
- Name: mask_rcnn_r50_fpn_gn_ws-all_2x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py |
|
Metadata: |
|
Training Memory (GB): 7.3 |
|
inference time (ms/im): |
|
- value: 95.24 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 40.6 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 36.6 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco/mask_rcnn_r50_fpn_gn_ws-all_2x_coco_20200226-16acb762.pth |
|
|
|
- Name: mask_rcnn_r101_fpn_gn_ws-all_2x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py |
|
Metadata: |
|
Training Memory (GB): 10.3 |
|
inference time (ms/im): |
|
- value: 116.28 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.0 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 37.7 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_r101_fpn_gn_ws-all_2x_coco/mask_rcnn_r101_fpn_gn_ws-all_2x_coco_20200212-ea357cd9.pth |
|
|
|
- Name: mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py |
|
Metadata: |
|
Training Memory (GB): 8.4 |
|
inference time (ms/im): |
|
- value: 107.53 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 41.1 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 37.0 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco/mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco_20200216-649fdb6f.pth |
|
|
|
- Name: mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py |
|
Metadata: |
|
Training Memory (GB): 12.2 |
|
inference time (ms/im): |
|
- value: 140.85 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.1 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 37.9 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco/mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco_20200319-33fb95b5.pth |
|
|
|
- Name: mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py |
|
Metadata: |
|
Training Memory (GB): 7.3 |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 41.1 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 37.1 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco_20200213-487d1283.pth |
|
|
|
- Name: mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py |
|
Metadata: |
|
Training Memory (GB): 10.3 |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 43.1 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 38.6 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco_20200213-57b5a50f.pth |
|
|
|
- Name: mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py |
|
Metadata: |
|
Training Memory (GB): 8.4 |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.1 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 38.0 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco_20200226-969bcb2c.pth |
|
|
|
- Name: mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco |
|
In Collection: Weight Standardization |
|
Config: configs/gn%2Bws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py |
|
Metadata: |
|
Training Memory (GB): 12.2 |
|
Epochs: 24 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.7 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 38.5 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco_20200316-e6cd35ef.pth |
|
|