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metafile.yml
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Collections:
- Name: Grid R-CNN
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- RPN
- Dilated Convolution
- ResNet
- RoIAlign
Paper:
URL: https://arxiv.org/abs/1906.05688
Title: 'Grid R-CNN'
README: configs/grid_rcnn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/grid_rcnn.py#L6
Version: v2.0.0
Models:
- Name: grid-rcnn_r50_fpn_gn-head_2x_coco
In Collection: Grid R-CNN
Config: configs/grid_rcnn/grid-rcnn_r50_fpn_gn-head_2x_coco.py
Metadata:
Training Memory (GB): 5.1
inference time (ms/im):
- value: 66.67
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth
- Name: grid-rcnn_r101_fpn_gn-head_2x_coco
In Collection: Grid R-CNN
Config: configs/grid_rcnn/grid-rcnn_r101_fpn_gn-head_2x_coco.py
Metadata:
Training Memory (GB): 7.0
inference time (ms/im):
- value: 79.37
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r101_fpn_gn-head_2x_coco/grid_rcnn_r101_fpn_gn-head_2x_coco_20200309-d6eca030.pth
- Name: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco
In Collection: Grid R-CNN
Config: configs/grid_rcnn/grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco.py
Metadata:
Training Memory (GB): 8.3
inference time (ms/im):
- value: 92.59
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco_20200130-d8f0e3ff.pth
- Name: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco
In Collection: Grid R-CNN
Config: configs/grid_rcnn/grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco.py
Metadata:
Training Memory (GB): 11.3
inference time (ms/im):
- value: 129.87
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco_20200204-ec76a754.pth