metafile.yml 4.7 KB

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  1. Collections:
  2. - Name: SABL
  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. - ResNet
  12. - SABL
  13. Paper:
  14. URL: https://arxiv.org/abs/1912.04260
  15. Title: 'Side-Aware Boundary Localization for More Precise Object Detection'
  16. README: configs/sabl/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/v2.4.0/mmdet/models/roi_heads/bbox_heads/sabl_head.py#L14
  19. Version: v2.4.0
  20. Models:
  21. - Name: sabl-faster-rcnn_r50_fpn_1x_coco
  22. In Collection: SABL
  23. Config: configs/sabl/sabl-faster-rcnn_r50_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/sabl/sabl_faster_rcnn_r50_fpn_1x_coco/sabl_faster_rcnn_r50_fpn_1x_coco-e867595b.pth
  32. - Name: sabl-faster-rcnn_r101_fpn_1x_coco
  33. In Collection: SABL
  34. Config: configs/sabl/sabl-faster-rcnn_r101_fpn_1x_coco.py
  35. Metadata:
  36. Epochs: 12
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. Metrics:
  41. box AP: 41.7
  42. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_faster_rcnn_r101_fpn_1x_coco/sabl_faster_rcnn_r101_fpn_1x_coco-f804c6c1.pth
  43. - Name: sabl-cascade-rcnn_r50_fpn_1x_coco
  44. In Collection: SABL
  45. Config: configs/sabl/sabl-cascade-rcnn_r50_fpn_1x_coco.py
  46. Metadata:
  47. Epochs: 12
  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/sabl/sabl_cascade_rcnn_r50_fpn_1x_coco/sabl_cascade_rcnn_r50_fpn_1x_coco-e1748e5e.pth
  54. - Name: sabl-cascade-rcnn_r101_fpn_1x_coco
  55. In Collection: SABL
  56. Config: configs/sabl/sabl-cascade-rcnn_r101_fpn_1x_coco.py
  57. Metadata:
  58. Epochs: 12
  59. Results:
  60. - Task: Object Detection
  61. Dataset: COCO
  62. Metrics:
  63. box AP: 43.0
  64. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_cascade_rcnn_r101_fpn_1x_coco/sabl_cascade_rcnn_r101_fpn_1x_coco-2b83e87c.pth
  65. - Name: sabl-retinanet_r50_fpn_1x_coco
  66. In Collection: SABL
  67. Config: configs/sabl/sabl-retinanet_r50_fpn_1x_coco.py
  68. Metadata:
  69. Epochs: 12
  70. Results:
  71. - Task: Object Detection
  72. Dataset: COCO
  73. Metrics:
  74. box AP: 37.7
  75. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_1x_coco/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth
  76. - Name: sabl-retinanet_r50-gn_fpn_1x_coco
  77. In Collection: SABL
  78. Config: configs/sabl/sabl-retinanet_r50-gn_fpn_1x_coco.py
  79. Metadata:
  80. Epochs: 12
  81. Results:
  82. - Task: Object Detection
  83. Dataset: COCO
  84. Metrics:
  85. box AP: 38.8
  86. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_gn_1x_coco/sabl_retinanet_r50_fpn_gn_1x_coco-e16dfcf1.pth
  87. - Name: sabl-retinanet_r101_fpn_1x_coco
  88. In Collection: SABL
  89. Config: configs/sabl/sabl-retinanet_r101_fpn_1x_coco.py
  90. Metadata:
  91. Epochs: 12
  92. Results:
  93. - Task: Object Detection
  94. Dataset: COCO
  95. Metrics:
  96. box AP: 39.7
  97. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r101_fpn_1x_coco/sabl_retinanet_r101_fpn_1x_coco-42026904.pth
  98. - Name: sabl-retinanet_r101-gn_fpn_1x_coco
  99. In Collection: SABL
  100. Config: configs/sabl/sabl-retinanet_r101-gn_fpn_1x_coco.py
  101. Metadata:
  102. Epochs: 12
  103. Results:
  104. - Task: Object Detection
  105. Dataset: COCO
  106. Metrics:
  107. box AP: 40.5
  108. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r101_fpn_gn_1x_coco/sabl_retinanet_r101_fpn_gn_1x_coco-40a893e8.pth
  109. - Name: sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco
  110. In Collection: SABL
  111. Config: configs/sabl/sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco.py
  112. Metadata:
  113. Epochs: 24
  114. Results:
  115. - Task: Object Detection
  116. Dataset: COCO
  117. Metrics:
  118. box AP: 42.9
  119. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r101_fpn_gn_2x_ms_640_800_coco/sabl_retinanet_r101_fpn_gn_2x_ms_640_800_coco-1e63382c.pth
  120. - Name: sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco
  121. In Collection: SABL
  122. Config: configs/sabl/sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco.py
  123. Metadata:
  124. Epochs: 24
  125. Results:
  126. - Task: Object Detection
  127. Dataset: COCO
  128. Metrics:
  129. box AP: 43.6
  130. Weights: https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r101_fpn_gn_2x_ms_480_960_coco/sabl_retinanet_r101_fpn_gn_2x_ms_480_960_coco-5342f857.pth