metafile.yml 1.6 KB

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  1. Collections:
  2. - Name: NAS-FCOS
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Training Resources: 4x V100 GPUs
  9. Architecture:
  10. - FPN
  11. - NAS-FCOS
  12. - ResNet
  13. Paper:
  14. URL: https://arxiv.org/abs/1906.04423
  15. Title: 'NAS-FCOS: Fast Neural Architecture Search for Object Detection'
  16. README: configs/nas_fcos/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/detectors/nasfcos.py#L6
  19. Version: v2.1.0
  20. Models:
  21. - Name: nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco
  22. In Collection: NAS-FCOS
  23. Config: configs/nas_fcos/nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco.py
  24. Metadata:
  25. Epochs: 12
  26. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 39.4
  31. Weights: https://download.openmmlab.com/mmdetection/v2.0/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200520-1bdba3ce.pth
  32. - Name: nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco
  33. In Collection: NAS-FCOS
  34. Config: configs/nas_fcos/nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco.py
  35. Metadata:
  36. Epochs: 12
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. Metrics:
  41. box AP: 38.5
  42. Weights: https://download.openmmlab.com/mmdetection/v2.0/nas_fcos/nas_fcos_fcoshead_r50_caffe_fpn_gn-head_4x4_1x_coco/nas_fcos_fcoshead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200521-7fdcbce0.pth