39 lines
1.1 KiB
YAML
39 lines
1.1 KiB
YAML
Collections:
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- Name: PAFPN
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Metadata:
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- PAFPN
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Paper:
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URL: https://arxiv.org/abs/1803.01534
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Title: 'Path Aggregation Network for Instance Segmentation'
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README: configs/pafpn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/necks/pafpn.py#L11
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Version: v2.0.0
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Models:
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- Name: faster_rcnn_r50_pafpn_1x_coco
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In Collection: PAFPN
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Config: configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py
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Metadata:
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Training Memory (GB): 4.0
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inference time (ms/im):
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- value: 58.14
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (800, 1333)
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Epochs: 12
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 37.5
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Weights: https://download.openmmlab.com/mmdetection/v2.0/pafpn/faster_rcnn_r50_pafpn_1x_coco/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth
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