|
- 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
|