61 lines
1.7 KiB
YAML
61 lines
1.7 KiB
YAML
Collections:
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- Name: ATSS
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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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- ATSS
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- FPN
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- ResNet
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Paper:
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URL: https://arxiv.org/abs/1912.02424
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Title: 'Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection'
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README: configs/atss/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/atss.py#L6
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Version: v2.0.0
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Models:
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- Name: atss_r50_fpn_1x_coco
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In Collection: ATSS
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Config: configs/atss/atss_r50_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 3.7
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inference time (ms/im):
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- value: 50.76
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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: 39.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth
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- Name: atss_r101_fpn_1x_coco
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In Collection: ATSS
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Config: configs/atss/atss_r101_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 5.6
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inference time (ms/im):
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- value: 81.3
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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: 41.5
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Weights: https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.pth
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