71 lines
2.2 KiB
YAML
71 lines
2.2 KiB
YAML
Collections:
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- Name: YOLOX
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Metadata:
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Training Data: COCO
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Training Techniques:
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- SGD with Nesterov
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- Weight Decay
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- Cosine Annealing Lr Updater
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Training Resources: 8x TITANXp GPUs
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Architecture:
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- CSPDarkNet
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- PAFPN
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Paper:
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URL: https://arxiv.org/abs/2107.08430
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Title: 'YOLOX: Exceeding YOLO Series in 2021'
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README: configs/yolox/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.15.1/mmdet/models/detectors/yolox.py#L6
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Version: v2.15.1
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Models:
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- Name: yolox_s_8x8_300e_coco
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In Collection: YOLOX
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Config: configs/yolox/yolox_s_8x8_300e_coco.py
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Metadata:
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Training Memory (GB): 7.6
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Epochs: 300
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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: 40.5
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_s_8x8_300e_coco/yolox_s_8x8_300e_coco_20211121_095711-4592a793.pth
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- Name: yolox_l_8x8_300e_coco
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In Collection: YOLOX
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Config: configs/yolox/yolox_l_8x8_300e_coco.py
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Metadata:
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Training Memory (GB): 19.9
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Epochs: 300
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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: 49.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_l_8x8_300e_coco/yolox_l_8x8_300e_coco_20211126_140236-d3bd2b23.pth
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- Name: yolox_x_8x8_300e_coco
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In Collection: YOLOX
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Config: configs/yolox/yolox_x_8x8_300e_coco.py
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Metadata:
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Training Memory (GB): 28.1
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Epochs: 300
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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: 50.9
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_x_8x8_300e_coco/yolox_x_8x8_300e_coco_20211126_140254-1ef88d67.pth
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- Name: yolox_tiny_8x8_300e_coco
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In Collection: YOLOX
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Config: configs/yolox/yolox_tiny_8x8_300e_coco.py
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Metadata:
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Training Memory (GB): 3.5
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Epochs: 300
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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: 32.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth
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