metafile.yml 960 B

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  1. Collections:
  2. - Name: YOLOF
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Training Resources: 8x V100 GPUs
  9. Architecture:
  10. - Dilated Encoder
  11. - ResNet
  12. Paper:
  13. URL: https://arxiv.org/abs/2103.09460
  14. Title: 'You Only Look One-level Feature'
  15. README: configs/yolof/README.md
  16. Code:
  17. URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/detectors/yolof.py#L6
  18. Version: v2.12.0
  19. Models:
  20. - Name: yolof_r50_c5_8x8_1x_coco
  21. In Collection: YOLOF
  22. Config: configs/yolof/yolof_r50-c5_8xb8-1x_coco.py
  23. Metadata:
  24. Training Memory (GB): 8.3
  25. Epochs: 12
  26. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 37.5
  31. Weights: https://download.openmmlab.com/mmdetection/v2.0/yolof/yolof_r50_c5_8x8_1x_coco/yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth