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metafile.yml
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Collections:
- Name: Group Normalization
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- Group Normalization
Paper:
URL: https://arxiv.org/abs/1803.08494
Title: 'Group Normalization'
README: configs/gn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py
Version: v2.0.0
Models:
- Name: mask_rcnn_r50_fpn_gn-all_2x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 90.91
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_2x_coco/mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth
- Name: mask_rcnn_r50_fpn_gn-all_3x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 90.91
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.5
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_3x_coco/mask_rcnn_r50_fpn_gn-all_3x_coco_20200214-8b23b1e5.pth
- Name: mask_rcnn_r101_fpn_gn-all_2x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r101_fpn_gn-all_2x_coco.py
Metadata:
Training Memory (GB): 9.9
inference time (ms/im):
- value: 111.11
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.9
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r101_fpn_gn-all_2x_coco/mask_rcnn_r101_fpn_gn-all_2x_coco_20200205-d96b1b50.pth
- Name: mask_rcnn_r101_fpn_gn-all_3x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py
Metadata:
Training Memory (GB): 9.9
inference time (ms/im):
- value: 111.11
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 36
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/mask_rcnn_r101_fpn_gn-all_3x_coco/mask_rcnn_r101_fpn_gn-all_3x_coco_20200513_181609-0df864f4.pth
- Name: mask_rcnn_r50_fpn_gn-all_contrib_2x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 91.74
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco_20200207-20d3e849.pth
- Name: mask_rcnn_r50_fpn_gn-all_contrib_3x_coco
In Collection: Group Normalization
Config: configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 91.74
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.1
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco_20200225-542aefbc.pth