metafile.yml 4.2 KB

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  1. Models:
  2. - Name: faster-rcnn_r50_fpn_rsb-pretrain_1x_coco
  3. In Collection: Faster R-CNN
  4. Config: configs/resnet_strikes_back/faster-rcnn_r50-rsb-pre_fpn_1x_coco.py
  5. Metadata:
  6. Training Memory (GB): 3.9
  7. Epochs: 12
  8. Training Data: COCO
  9. Training Techniques:
  10. - SGD with Momentum
  11. - Weight Decay
  12. Training Resources: 8x V100 GPUs
  13. Architecture:
  14. - ResNet
  15. Results:
  16. - Task: Object Detection
  17. Dataset: COCO
  18. Metrics:
  19. box AP: 40.8
  20. Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_162229-32ae82a9.pth
  21. Paper:
  22. URL: https://arxiv.org/abs/2110.00476
  23. Title: 'ResNet strikes back: An improved training procedure in timm'
  24. README: configs/resnet_strikes_back/README.md
  25. Code:
  26. URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
  27. Version: v2.22.0
  28. - Name: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco
  29. In Collection: Cascade R-CNN
  30. Config: configs/resnet_strikes_back/cascade-mask-rcnn_r50-rsb-pre_fpn_1x_coco.py
  31. Metadata:
  32. Training Memory (GB): 6.2
  33. Epochs: 12
  34. Training Data: COCO
  35. Training Techniques:
  36. - SGD with Momentum
  37. - Weight Decay
  38. Training Resources: 8x V100 GPUs
  39. Architecture:
  40. - ResNet
  41. Results:
  42. - Task: Object Detection
  43. Dataset: COCO
  44. Metrics:
  45. box AP: 44.8
  46. - Task: Instance Segmentation
  47. Dataset: COCO
  48. Metrics:
  49. mask AP: 39.9
  50. Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_193636-8b9ad50f.pth
  51. Paper:
  52. URL: https://arxiv.org/abs/2110.00476
  53. Title: 'ResNet strikes back: An improved training procedure in timm'
  54. README: configs/resnet_strikes_back/README.md
  55. Code:
  56. URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
  57. Version: v2.22.0
  58. - Name: retinanet_r50-rsb-pre_fpn_1x_coco
  59. In Collection: RetinaNet
  60. Config: configs/resnet_strikes_back/retinanet_r50-rsb-pre_fpn_1x_coco.py
  61. Metadata:
  62. Training Memory (GB): 3.8
  63. Epochs: 12
  64. Training Data: COCO
  65. Training Techniques:
  66. - SGD with Momentum
  67. - Weight Decay
  68. Training Resources: 8x V100 GPUs
  69. Architecture:
  70. - ResNet
  71. Results:
  72. - Task: Object Detection
  73. Dataset: COCO
  74. Metrics:
  75. box AP: 39.0
  76. Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco/retinanet_r50_fpn_rsb-pretrain_1x_coco_20220113_175432-bd24aae9.pth
  77. Paper:
  78. URL: https://arxiv.org/abs/2110.00476
  79. Title: 'ResNet strikes back: An improved training procedure in timm'
  80. README: configs/resnet_strikes_back/README.md
  81. Code:
  82. URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
  83. Version: v2.22.0
  84. - Name: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco
  85. In Collection: Mask R-CNN
  86. Config: configs/resnet_strikes_back/mask-rcnn_r50-rsb-pre_fpn_1x_coco.py
  87. Metadata:
  88. Training Memory (GB): 4.5
  89. Epochs: 12
  90. Training Data: COCO
  91. Training Techniques:
  92. - SGD with Momentum
  93. - Weight Decay
  94. Training Resources: 8x V100 GPUs
  95. Architecture:
  96. - ResNet
  97. Results:
  98. - Task: Object Detection
  99. Dataset: COCO
  100. Metrics:
  101. box AP: 41.2
  102. - Task: Instance Segmentation
  103. Dataset: COCO
  104. Metrics:
  105. mask AP: 38.2
  106. Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_174054-06ce8ba0.pth
  107. Paper:
  108. URL: https://arxiv.org/abs/2110.00476
  109. Title: 'ResNet strikes back: An improved training procedure in timm'
  110. README: configs/resnet_strikes_back/README.md
  111. Code:
  112. URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
  113. Version: v2.22.0