metafile.yml 3.2 KB

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  1. Collections:
  2. - Name: GRoIE
  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. - Generic RoI Extractor
  11. - FPN
  12. - RPN
  13. - ResNet
  14. - RoIAlign
  15. Paper:
  16. URL: https://arxiv.org/abs/2004.13665
  17. Title: 'A novel Region of Interest Extraction Layer for Instance Segmentation'
  18. README: configs/groie/README.md
  19. Code:
  20. URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/roi_heads/roi_extractors/groie.py#L15
  21. Version: v2.1.0
  22. Models:
  23. - Name: faster-rcnn_r50_fpn_groie_1x_coco
  24. In Collection: GRoIE
  25. Config: configs/groie/faste-rcnn_r50_fpn_groie_1x_coco.py
  26. Metadata:
  27. Epochs: 12
  28. Results:
  29. - Task: Object Detection
  30. Dataset: COCO
  31. Metrics:
  32. box AP: 38.3
  33. Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth
  34. - Name: grid-rcnn_r50_fpn_gn-head-groie_1x_coco
  35. In Collection: GRoIE
  36. Config: configs/groie/grid-rcnn_r50_fpn_gn-head-groie_1x_coco.py
  37. Metadata:
  38. Epochs: 12
  39. Results:
  40. - Task: Object Detection
  41. Dataset: COCO
  42. Metrics:
  43. box AP: 39.1
  44. Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059-4b75d86f.pth
  45. - Name: mask-rcnn_r50_fpn_groie_1x_coco
  46. In Collection: GRoIE
  47. Config: configs/groie/mask-rcnn_r50_fpn_groie_1x_coco.py
  48. Metadata:
  49. Epochs: 12
  50. Results:
  51. - Task: Object Detection
  52. Dataset: COCO
  53. Metrics:
  54. box AP: 39.0
  55. - Task: Instance Segmentation
  56. Dataset: COCO
  57. Metrics:
  58. mask AP: 36.0
  59. Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_groie_1x_coco/mask_rcnn_r50_fpn_groie_1x_coco_20200604_211715-50d90c74.pth
  60. - Name: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco
  61. In Collection: GRoIE
  62. Config: configs/groie/mask-rcnn_r50_fpn_syncbn-r4-gcb-c3-c5-groie_1x_coco.py
  63. Metadata:
  64. Epochs: 12
  65. Results:
  66. - Task: Object Detection
  67. Dataset: COCO
  68. Metrics:
  69. box AP: 41.0
  70. - Task: Instance Segmentation
  71. Dataset: COCO
  72. Metrics:
  73. mask AP: 37.8
  74. Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco/mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco_20200604_211715-42eb79e1.pth
  75. - Name: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco
  76. In Collection: GRoIE
  77. Config: configs/groie/mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco.py
  78. Metadata:
  79. Epochs: 12
  80. Results:
  81. - Task: Object Detection
  82. Dataset: COCO
  83. Metrics:
  84. box AP: 42.6
  85. - Task: Instance Segmentation
  86. Dataset: COCO
  87. Metrics:
  88. mask AP: 38.7
  89. Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco/mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco_20200607_224507-8daae01c.pth