metafile.yml 1.5 KB

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  1. Collections:
  2. - Name: Cascade RPN
  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. - Cascade RPN
  11. - FPN
  12. - ResNet
  13. Paper:
  14. URL: https://arxiv.org/abs/1909.06720
  15. Title: 'Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution'
  16. README: configs/cascade_rpn/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/v2.8.0/mmdet/models/dense_heads/cascade_rpn_head.py#L538
  19. Version: v2.8.0
  20. Models:
  21. - Name: cascade-rpn_fast-rcnn_r50-caffe_fpn_1x_coco
  22. In Collection: Cascade RPN
  23. Config: configs/cascade_rpn/cascade-rpn_fast-rcnn_r50-caffe_fpn_1x_coco.py
  24. Metadata:
  25. Epochs: 12
  26. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 39.9
  31. Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rpn/crpn_fast_rcnn_r50_caffe_fpn_1x_coco/crpn_fast_rcnn_r50_caffe_fpn_1x_coco-cb486e66.pth
  32. - Name: cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco
  33. In Collection: Cascade RPN
  34. Config: configs/cascade_rpn/cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco.py
  35. Metadata:
  36. Epochs: 12
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. Metrics:
  41. box AP: 40.4
  42. Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rpn/crpn_faster_rcnn_r50_caffe_fpn_1x_coco/crpn_faster_rcnn_r50_caffe_fpn_1x_coco-c8283cca.pth