metafile.yml 3.4 KB

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  1. Collections:
  2. - Name: PISA
  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. - PISA
  12. - RPN
  13. - ResNet
  14. - RoIPool
  15. Paper:
  16. URL: https://arxiv.org/abs/1904.04821
  17. Title: 'Prime Sample Attention in Object Detection'
  18. README: configs/pisa/README.md
  19. Code:
  20. URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/roi_heads/pisa_roi_head.py#L8
  21. Version: v2.1.0
  22. Models:
  23. - Name: pisa_faster_rcnn_r50_fpn_1x_coco
  24. In Collection: PISA
  25. Config: configs/pisa/faster-rcnn_r50_fpn_pisa_1x_coco.py
  26. Metadata:
  27. Epochs: 12
  28. Results:
  29. - Task: Object Detection
  30. Dataset: COCO
  31. Metrics:
  32. box AP: 38.4
  33. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_faster_rcnn_r50_fpn_1x_coco/pisa_faster_rcnn_r50_fpn_1x_coco-dea93523.pth
  34. - Name: pisa_faster_rcnn_x101_32x4d_fpn_1x_coco
  35. In Collection: PISA
  36. Config: configs/pisa/faster-rcnn_x101-32x4d_fpn_pisa_1x_coco.py
  37. Metadata:
  38. Epochs: 12
  39. Results:
  40. - Task: Object Detection
  41. Dataset: COCO
  42. Metrics:
  43. box AP: 41.9
  44. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_faster_rcnn_x101_32x4d_fpn_1x_coco/pisa_faster_rcnn_x101_32x4d_fpn_1x_coco-e4accec4.pth
  45. - Name: pisa_mask_rcnn_r50_fpn_1x_coco
  46. In Collection: PISA
  47. Config: configs/pisa/mask-rcnn_r50_fpn_pisa_1x_coco.py
  48. Metadata:
  49. Epochs: 12
  50. Results:
  51. - Task: Object Detection
  52. Dataset: COCO
  53. Metrics:
  54. box AP: 39.1
  55. - Task: Instance Segmentation
  56. Dataset: COCO
  57. Metrics:
  58. mask AP: 35.2
  59. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_mask_rcnn_r50_fpn_1x_coco/pisa_mask_rcnn_r50_fpn_1x_coco-dfcedba6.pth
  60. - Name: pisa_retinanet_r50_fpn_1x_coco
  61. In Collection: PISA
  62. Config: configs/pisa/retinanet-r50_fpn_pisa_1x_coco.py
  63. Metadata:
  64. Epochs: 12
  65. Results:
  66. - Task: Object Detection
  67. Dataset: COCO
  68. Metrics:
  69. box AP: 36.9
  70. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_retinanet_r50_fpn_1x_coco/pisa_retinanet_r50_fpn_1x_coco-76409952.pth
  71. - Name: pisa_retinanet_x101_32x4d_fpn_1x_coco
  72. In Collection: PISA
  73. Config: configs/pisa/retinanet_x101-32x4d_fpn_pisa_1x_coco.py
  74. Metadata:
  75. Epochs: 12
  76. Results:
  77. - Task: Object Detection
  78. Dataset: COCO
  79. Metrics:
  80. box AP: 40.7
  81. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_retinanet_x101_32x4d_fpn_1x_coco/pisa_retinanet_x101_32x4d_fpn_1x_coco-a0c13c73.pth
  82. - Name: pisa_ssd300_coco
  83. In Collection: PISA
  84. Config: configs/pisa/ssd300_pisa_coco.py
  85. Metadata:
  86. Epochs: 24
  87. Results:
  88. - Task: Object Detection
  89. Dataset: COCO
  90. Metrics:
  91. box AP: 27.6
  92. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_ssd300_coco/pisa_ssd300_coco-710e3ac9.pth
  93. - Name: pisa_ssd512_coco
  94. In Collection: PISA
  95. Config: configs/pisa/ssd512_pisa_coco.py
  96. Metadata:
  97. Epochs: 24
  98. Results:
  99. - Task: Object Detection
  100. Dataset: COCO
  101. Metrics:
  102. box AP: 31.8
  103. Weights: https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_ssd512_coco/pisa_ssd512_coco-247addee.pth