metafile.yml 3.4 KB

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  1. Collections:
  2. - Name: PAA
  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. - FPN
  11. - Probabilistic Anchor Assignment
  12. - ResNet
  13. Paper:
  14. URL: https://arxiv.org/abs/2007.08103
  15. Title: 'Probabilistic Anchor Assignment with IoU Prediction for Object Detection'
  16. README: configs/paa/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/v2.4.0/mmdet/models/detectors/paa.py#L6
  19. Version: v2.4.0
  20. Models:
  21. - Name: paa_r50_fpn_1x_coco
  22. In Collection: PAA
  23. Config: configs/paa/paa_r50_fpn_1x_coco.py
  24. Metadata:
  25. Training Memory (GB): 3.7
  26. Epochs: 12
  27. Results:
  28. - Task: Object Detection
  29. Dataset: COCO
  30. Metrics:
  31. box AP: 40.4
  32. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth
  33. - Name: paa_r50_fpn_1.5x_coco
  34. In Collection: PAA
  35. Config: configs/paa/paa_r50_fpn_1.5x_coco.py
  36. Metadata:
  37. Training Memory (GB): 3.7
  38. Epochs: 18
  39. Results:
  40. - Task: Object Detection
  41. Dataset: COCO
  42. Metrics:
  43. box AP: 41.4
  44. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1.5x_coco/paa_r50_fpn_1.5x_coco_20200823-805d6078.pth
  45. - Name: paa_r50_fpn_2x_coco
  46. In Collection: PAA
  47. Config: configs/paa/paa_r50_fpn_2x_coco.py
  48. Metadata:
  49. Training Memory (GB): 3.7
  50. Epochs: 24
  51. Results:
  52. - Task: Object Detection
  53. Dataset: COCO
  54. Metrics:
  55. box AP: 41.6
  56. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_2x_coco/paa_r50_fpn_2x_coco_20200821-c98bfc4e.pth
  57. - Name: paa_r50_fpn_mstrain_3x_coco
  58. In Collection: PAA
  59. Config: configs/paa/paa_r50_fpn_ms-3x_coco.py
  60. Metadata:
  61. Training Memory (GB): 3.7
  62. Epochs: 36
  63. Results:
  64. - Task: Object Detection
  65. Dataset: COCO
  66. Metrics:
  67. box AP: 43.3
  68. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_mstrain_3x_coco/paa_r50_fpn_mstrain_3x_coco_20210121_145722-06a6880b.pth
  69. - Name: paa_r101_fpn_1x_coco
  70. In Collection: PAA
  71. Config: configs/paa/paa_r101_fpn_1x_coco.py
  72. Metadata:
  73. Training Memory (GB): 6.2
  74. Epochs: 12
  75. Results:
  76. - Task: Object Detection
  77. Dataset: COCO
  78. Metrics:
  79. box AP: 42.6
  80. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.pth
  81. - Name: paa_r101_fpn_2x_coco
  82. In Collection: PAA
  83. Config: configs/paa/paa_r101_fpn_2x_coco.py
  84. Metadata:
  85. Training Memory (GB): 6.2
  86. Epochs: 24
  87. Results:
  88. - Task: Object Detection
  89. Dataset: COCO
  90. Metrics:
  91. box AP: 43.5
  92. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_2x_coco/paa_r101_fpn_2x_coco_20200821-6829f96b.pth
  93. - Name: paa_r101_fpn_mstrain_3x_coco
  94. In Collection: PAA
  95. Config: configs/paa/paa_r101_fpn_ms-3x_coco.py
  96. Metadata:
  97. Training Memory (GB): 6.2
  98. Epochs: 36
  99. Results:
  100. - Task: Object Detection
  101. Dataset: COCO
  102. Metrics:
  103. box AP: 45.1
  104. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_mstrain_3x_coco/paa_r101_fpn_mstrain_3x_coco_20210122_084202-83250d22.pth