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Collections:
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- Name: FSAF
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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 Titan-XP GPUs
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Architecture:
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- FPN
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- FSAF
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- ResNet
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Paper:
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URL: https://arxiv.org/abs/1903.00621
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Title: 'Feature Selective Anchor-Free Module for Single-Shot Object Detection'
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README: configs/fsaf/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/detectors/fsaf.py#L6
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Version: v2.1.0
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Models:
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- Name: fsaf_r50_fpn_1x_coco
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In Collection: FSAF
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Config: configs/fsaf/fsaf_r50_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 3.15
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inference time (ms/im):
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- value: 76.92
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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: 37.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth
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- Name: fsaf_r101_fpn_1x_coco
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In Collection: FSAF
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Config: configs/fsaf/fsaf_r101_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 5.08
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inference time (ms/im):
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- value: 92.59
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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: 39.3 (37.9)
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r101_fpn_1x_coco/fsaf_r101_fpn_1x_coco-9e71098f.pth
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- Name: fsaf_x101_64x4d_fpn_1x_coco
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In Collection: FSAF
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Config: configs/fsaf/fsaf_x101_64x4d_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 9.38
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inference time (ms/im):
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- value: 178.57
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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: 42.4 (41.0)
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Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_x101_64x4d_fpn_1x_coco/fsaf_x101_64x4d_fpn_1x_coco-e3f6e6fd.pth
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