metafile.yml 2.4 KB

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  1. Collections:
  2. - Name: DyHead
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Training Resources: 4x T4 GPUs
  9. Architecture:
  10. - ATSS
  11. - DyHead
  12. - FPN
  13. - ResNet
  14. - Deformable Convolution
  15. - Pyramid Convolution
  16. Paper:
  17. URL: https://arxiv.org/abs/2106.08322
  18. Title: 'Dynamic Head: Unifying Object Detection Heads with Attentions'
  19. README: configs/dyhead/README.md
  20. Code:
  21. URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/mmdet/models/necks/dyhead.py#L130
  22. Version: v2.22.0
  23. Models:
  24. - Name: atss_r50-caffe_fpn_dyhead_1x_coco
  25. In Collection: DyHead
  26. Config: configs/dyhead/atss_r50-caffe_fpn_dyhead_1x_coco.py
  27. Metadata:
  28. Training Memory (GB): 5.4
  29. inference time (ms/im):
  30. - value: 75.7
  31. hardware: V100
  32. backend: PyTorch
  33. batch size: 1
  34. mode: FP32
  35. resolution: (800, 1333)
  36. Epochs: 12
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. Metrics:
  41. box AP: 42.5
  42. Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_for_reproduction_1x_coco/atss_r50_fpn_dyhead_for_reproduction_4x4_1x_coco_20220107_213939-162888e6.pth
  43. - Name: atss_r50_fpn_dyhead_1x_coco
  44. In Collection: DyHead
  45. Config: configs/dyhead/atss_r50_fpn_dyhead_1x_coco.py
  46. Metadata:
  47. Training Memory (GB): 4.9
  48. inference time (ms/im):
  49. - value: 73.1
  50. hardware: V100
  51. backend: PyTorch
  52. batch size: 1
  53. mode: FP32
  54. resolution: (800, 1333)
  55. Epochs: 12
  56. Results:
  57. - Task: Object Detection
  58. Dataset: COCO
  59. Metrics:
  60. box AP: 43.3
  61. Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_4x4_1x_coco/atss_r50_fpn_dyhead_4x4_1x_coco_20211219_023314-eaa620c6.pth
  62. - Name: atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco
  63. In Collection: DyHead
  64. Config: configs/dyhead/atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco.py
  65. Metadata:
  66. Training Memory (GB): 58.4
  67. Epochs: 24
  68. Results:
  69. - Task: Object Detection
  70. Dataset: COCO
  71. Metrics:
  72. box AP: 56.2
  73. Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco/atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco_20220509_100315-bc5b6516.pth