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Unverified Commit 2626b006 authored by Tzu-Heng Lin's avatar Tzu-Heng Lin Committed by GitHub
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fix typo in MODEL_ZOO on Mask R-CNN

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MODEL_ZOO.md
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...@@ -83,8 +83,8 @@ We released RPN, Faster R-CNN and Mask R-CNN models in the first version. More m ...@@ -83,8 +83,8 @@ We released RPN, Faster R-CNN and Mask R-CNN models in the first version. More m
| R-101-FPN | pytorch | 1x | 9.1 | 0.825 | 6.7 | 39.4 | 35.9 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r101_fpn_1x_20181129-34ad1961.pth) | | R-101-FPN | pytorch | 1x | 9.1 | 0.825 | 6.7 | 39.4 | 35.9 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r101_fpn_1x_20181129-34ad1961.pth) |
| R-101-FPN | pytorch | 2x | 9.1 | 0.825 | 6.7 | 40.4 | 36.6 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r101_fpn_2x_20181129-a254bdfc.pth) | | R-101-FPN | pytorch | 2x | 9.1 | 0.825 | 6.7 | 40.4 | 36.6 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r101_fpn_2x_20181129-a254bdfc.pth) |
| X-101-32x4d-FPN | pytorch | 1x| 10.9 | 0.972 | 5.8 | 41.2 | 37.2 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_32x4d_fpn_1x_20181218-44e635cc.pth) | X-101-32x4d-FPN | pytorch | 1x| 10.9 | 0.972 | 5.8 | 41.2 | 37.2 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_32x4d_fpn_1x_20181218-44e635cc.pth)
| X-101-64x4d-FPN | pytorch | 2x| 10.9 | 0.972 | 5.8 | 41.4 | 37.1 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_32x4d_fpn_2x_20181218-f023dffa.pth) | X-101-32x4d-FPN | pytorch | 2x| 10.9 | 0.972 | 5.8 | 41.4 | 37.1 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_32x4d_fpn_2x_20181218-f023dffa.pth)
| X-101-32x4d-FPN | pytorch | 1x| 14.1 | 1.302 | 4.7 | 42.2 | 38.1 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_64x4d_fpn_1x_20181218-cb159987.pth) | X-101-64x4d-FPN | pytorch | 1x| 14.1 | 1.302 | 4.7 | 42.2 | 38.1 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_64x4d_fpn_1x_20181218-cb159987.pth)
| X-101-64x4d-FPN | pytorch | 2x| 14.1 | 1.302 | 4.7 | 42.0 | 37.8 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_64x4d_fpn_2x_20181218-ea936e44.pth) | X-101-64x4d-FPN | pytorch | 2x| 14.1 | 1.302 | 4.7 | 42.0 | 37.8 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_x101_64x4d_fpn_2x_20181218-ea936e44.pth)
### Fast R-CNN (with pre-computed proposals) ### Fast R-CNN (with pre-computed proposals)
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