metafile.yml 2.5 KB

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  1. Collections:
  2. - Name: FreeAnchor
  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. - FreeAnchor
  11. - ResNet
  12. Paper:
  13. URL: https://arxiv.org/abs/1909.02466
  14. Title: 'FreeAnchor: Learning to Match Anchors for Visual Object Detection'
  15. README: configs/free_anchor/README.md
  16. Code:
  17. URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/dense_heads/free_anchor_retina_head.py#L10
  18. Version: v2.0.0
  19. Models:
  20. - Name: freeanchor_r50_fpn_1x_coco
  21. In Collection: FreeAnchor
  22. Config: configs/free_anchor/freeanchor_r50_fpn_1x_coco.py
  23. Metadata:
  24. Training Memory (GB): 4.9
  25. inference time (ms/im):
  26. - value: 54.35
  27. hardware: V100
  28. backend: PyTorch
  29. batch size: 1
  30. mode: FP32
  31. resolution: (800, 1333)
  32. Epochs: 12
  33. Results:
  34. - Task: Object Detection
  35. Dataset: COCO
  36. Metrics:
  37. box AP: 38.7
  38. Weights: https://download.openmmlab.com/mmdetection/v2.0/free_anchor/retinanet_free_anchor_r50_fpn_1x_coco/retinanet_free_anchor_r50_fpn_1x_coco_20200130-0f67375f.pth
  39. - Name: freeanchor_r101_fpn_1x_coco
  40. In Collection: FreeAnchor
  41. Config: configs/free_anchor/freeanchor_r101_fpn_1x_coco.py
  42. Metadata:
  43. Training Memory (GB): 6.8
  44. inference time (ms/im):
  45. - value: 67.11
  46. hardware: V100
  47. backend: PyTorch
  48. batch size: 1
  49. mode: FP32
  50. resolution: (800, 1333)
  51. Epochs: 12
  52. Results:
  53. - Task: Object Detection
  54. Dataset: COCO
  55. Metrics:
  56. box AP: 40.3
  57. Weights: https://download.openmmlab.com/mmdetection/v2.0/free_anchor/retinanet_free_anchor_r101_fpn_1x_coco/retinanet_free_anchor_r101_fpn_1x_coco_20200130-358324e6.pth
  58. - Name: freeanchor_x101-32x4d_fpn_1x_coco
  59. In Collection: FreeAnchor
  60. Config: configs/free_anchor/freeanchor_x101-32x4d_fpn_1x_coco.py
  61. Metadata:
  62. Training Memory (GB): 8.1
  63. inference time (ms/im):
  64. - value: 90.09
  65. hardware: V100
  66. backend: PyTorch
  67. batch size: 1
  68. mode: FP32
  69. resolution: (800, 1333)
  70. Epochs: 12
  71. Results:
  72. - Task: Object Detection
  73. Dataset: COCO
  74. Metrics:
  75. box AP: 41.9
  76. Weights: https://download.openmmlab.com/mmdetection/v2.0/free_anchor/retinanet_free_anchor_x101_32x4d_fpn_1x_coco/retinanet_free_anchor_x101_32x4d_fpn_1x_coco_20200130-d4846968.pth