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metafile.yml 3.0 kB

2 years ago
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  1. Collections:
  2. - Name: Swin Transformer
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - AdamW
  7. Training Resources: 8x V100 GPUs
  8. Architecture:
  9. - Swin Transformer
  10. Paper:
  11. URL: https://arxiv.org/abs/2107.08430
  12. Title: 'Swin Transformer: Hierarchical Vision Transformer using Shifted Windows'
  13. README: configs/swin/README.md
  14. Code:
  15. URL: https://github.com/open-mmlab/mmdetection/blob/v2.16.0/mmdet/models/backbones/swin.py#L465
  16. Version: v2.16.0
  17. Models:
  18. - Name: mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco
  19. In Collection: Swin Transformer
  20. Config: configs/swin/mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco.py
  21. Metadata:
  22. Training Memory (GB): 11.9
  23. Epochs: 36
  24. Results:
  25. - Task: Object Detection
  26. Dataset: COCO
  27. Metrics:
  28. box AP: 48.2
  29. - Task: Instance Segmentation
  30. Dataset: COCO
  31. Metrics:
  32. mask AP: 43.2
  33. Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco/mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco_20210903_104808-b92c91f1.pth
  34. - Name: mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco
  35. In Collection: Swin Transformer
  36. Config: configs/swin/mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py
  37. Metadata:
  38. Training Memory (GB): 10.2
  39. Epochs: 36
  40. Results:
  41. - Task: Object Detection
  42. Dataset: COCO
  43. Metrics:
  44. box AP: 46.0
  45. - Task: Instance Segmentation
  46. Dataset: COCO
  47. Metrics:
  48. mask AP: 41.6
  49. Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco/mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco_20210906_131725-bacf6f7b.pth
  50. - Name: mask_rcnn_swin-t-p4-w7_fpn_1x_coco
  51. In Collection: Swin Transformer
  52. Config: configs/swin/mask_rcnn_swin-t-p4-w7_fpn_1x_coco.py
  53. Metadata:
  54. Training Memory (GB): 7.6
  55. Epochs: 12
  56. Results:
  57. - Task: Object Detection
  58. Dataset: COCO
  59. Metrics:
  60. box AP: 42.7
  61. - Task: Instance Segmentation
  62. Dataset: COCO
  63. Metrics:
  64. mask AP: 39.3
  65. Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_1x_coco/mask_rcnn_swin-t-p4-w7_fpn_1x_coco_20210902_120937-9d6b7cfa.pth
  66. - Name: mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco
  67. In Collection: Swin Transformer
  68. Config: configs/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco.py
  69. Metadata:
  70. Training Memory (GB): 7.8
  71. Epochs: 36
  72. Results:
  73. - Task: Object Detection
  74. Dataset: COCO
  75. Metrics:
  76. box AP: 46.0
  77. - Task: Instance Segmentation
  78. Dataset: COCO
  79. Metrics:
  80. mask AP: 41.7
  81. Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco_20210908_165006-90a4008c.pth

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