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- Collections:
- - Name: FSAF
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x Titan-XP GPUs
- Architecture:
- - FPN
- - FSAF
- - ResNet
- Paper:
- URL: https://arxiv.org/abs/1903.00621
- Title: 'Feature Selective Anchor-Free Module for Single-Shot Object Detection'
- README: configs/fsaf/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/detectors/fsaf.py#L6
- Version: v2.1.0
- Models:
- - Name: fsaf_r50_fpn_1x_coco
- In Collection: FSAF
- Config: configs/fsaf/fsaf_r50_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 3.15
- inference time (ms/im):
- - value: 76.92
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 37.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth
- - Name: fsaf_r101_fpn_1x_coco
- In Collection: FSAF
- Config: configs/fsaf/fsaf_r101_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 5.08
- inference time (ms/im):
- - value: 92.59
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 39.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r101_fpn_1x_coco/fsaf_r101_fpn_1x_coco-9e71098f.pth
- - Name: fsaf_x101-64x4d_fpn_1x_coco
- In Collection: FSAF
- Config: configs/fsaf/fsaf_x101-64x4d_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 9.38
- inference time (ms/im):
- - value: 178.57
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.4
- 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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