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2 years ago
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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. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 40.4
  31. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth
  32. - Name: paa_r50_fpn_1.5x_coco
  33. In Collection: PAA
  34. Config: configs/paa/paa_r50_fpn_1.5x_coco.py
  35. Metadata:
  36. Training Memory (GB): 3.7
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. Metrics:
  41. box AP: 41.4
  42. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1.5x_coco/paa_r50_fpn_1.5x_coco_20200823-805d6078.pth
  43. - Name: paa_r50_fpn_2x_coco
  44. In Collection: PAA
  45. Config: configs/paa/paa_r50_fpn_2x_coco.py
  46. Metadata:
  47. Training Memory (GB): 3.7
  48. Results:
  49. - Task: Object Detection
  50. Dataset: COCO
  51. Metrics:
  52. box AP: 41.6
  53. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_2x_coco/paa_r50_fpn_2x_coco_20200821-c98bfc4e.pth
  54. - Name: paa_r50_fpn_mstrain_3x_coco
  55. In Collection: PAA
  56. Config: configs/paa/paa_r50_fpn_mstrain_3x_coco.py
  57. Metadata:
  58. Training Memory (GB): 3.7
  59. Results:
  60. - Task: Object Detection
  61. Dataset: COCO
  62. Metrics:
  63. box AP: 43.3
  64. 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
  65. - Name: paa_r101_fpn_1x_coco
  66. In Collection: PAA
  67. Config: configs/paa/paa_r101_fpn_1x_coco.py
  68. Metadata:
  69. Training Memory (GB): 6.2
  70. Results:
  71. - Task: Object Detection
  72. Dataset: COCO
  73. Metrics:
  74. box AP: 42.6
  75. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.pth
  76. - Name: paa_r101_fpn_2x_coco
  77. In Collection: PAA
  78. Config: configs/paa/paa_r101_fpn_2x_coco.py
  79. Metadata:
  80. Training Memory (GB): 6.2
  81. Results:
  82. - Task: Object Detection
  83. Dataset: COCO
  84. Metrics:
  85. box AP: 43.5
  86. Weights: https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_2x_coco/paa_r101_fpn_2x_coco_20200821-6829f96b.pth
  87. - Name: paa_r101_fpn_mstrain_3x_coco
  88. In Collection: PAA
  89. Config: configs/paa/paa_r101_fpn_mstrain_3x_coco.py
  90. Metadata:
  91. Training Memory (GB): 6.2
  92. Results:
  93. - Task: Object Detection
  94. Dataset: COCO
  95. Metrics:
  96. box AP: 45.1
  97. 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

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