Update README.md

hustvl · Aug 4, 2022 · 876b1fd · 876b1fd
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@@ -41,8 +41,8 @@ This repo provides code and pretrained models for **MIMDet** (**M**asked **I**ma
 ### Mask R-CNN
 | <sub>Model | <sub>Sample Ratio | <sub>Schedule | <sub>Aug | <sub>Box AP | <sub>Mask AP | <sub>#params | <sub>config | <sub>model / log |
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
-| <sub>MIMDet-ViT-B | <sub>0.5 | <sub>3x | <sub>[480-800, 1333] w/crop | <sub>51.7 | <sub>46.2 | <sub>127.96M | <sub>[config](configs/mimdet/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.py) | <sub>[model](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.json) |
-| <sub>MIMDet-ViT-L | <sub>0.5 | <sub>3x | <sub>[480-800, 1333] w/crop | <sub>54.3 | <sub>48.2 | <sub>349.33M | <sub>[config](configs/mimdet/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.py) | <sub>[model](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.json) |
+| <sub>**MIMDet-ViT-B** | <sub>0.5 | <sub>3x | <sub>[480-800, 1333] w/crop | <sub>51.7 | <sub>46.2 | <sub>127.96M | <sub>[config](configs/mimdet/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.py) | <sub>[model](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_base_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.json) |
+| <sub>**MIMDet-ViT-L** | <sub>0.5 | <sub>3x | <sub>[480-800, 1333] w/crop | <sub>54.3 | <sub>48.2 | <sub>349.33M | <sub>[config](configs/mimdet/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.py) | <sub>[model](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.2.0/mimdet_vit_large_mask_rcnn_fpn_sr_0p5_800_1333_4xdec_coco_3x.json) |
 | <sub>Benchmarking-ViT-B | <sub>- | <sub>25ep | <sub>[1024, 1024] LSJ(0.1-2) | <sub>48.0 | <sub>43.0 | <sub>118.67M | <sub>[config](configs/benchmarking/benchmarking_mask_rcnn_base_FPN_25ep_LSJ_mae.py) | <sub>[model](https://github.com/hustvl/storage/releases/download/v1.0.0/benchmarking_mask_rcnn_base_FPN_25ep_LSJ_mae.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.0.1/benchmarking_mask_rcnn_base_FPN_25ep_LSJ_mae.json) |
 | <sub>Benchmarking-ViT-B | <sub>- | <sub>50ep | <sub>[1024, 1024] LSJ(0.1-2) | <sub>50.2 | <sub>44.9 | <sub>118.67M | <sub>[config](configs/benchmarking/benchmarking_mask_rcnn_base_FPN_50ep_LSJ_mae.py) | <sub>[model](https://github.com/hustvl/storage/releases/download/v1.0.0/benchmarking_mask_rcnn_base_FPN_50ep_LSJ_mae.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.0.1/benchmarking_mask_rcnn_base_FPN_50ep_LSJ_mae.json) |
 | <sub>Benchmarking-ViT-B |<sub>- | <sub>100ep | <sub>[1024, 1024] LSJ(0.1-2) | <sub>50.4 | <sub>44.9 | <sub>118.67M | <sub>[config](configs/benchmarking/benchmarking_mask_rcnn_base_FPN_100ep_LSJ_mae.py) | <sub>[model](https://github.com/hustvl/storage/releases/download/v1.0.0/benchmarking_mask_rcnn_base_FPN_100ep_LSJ_mae.pth) / [log](https://github.com/hustvl/Storage/releases/download/v1.0.1/benchmarking_mask_rcnn_base_FPN_100ep_LSJ_mae.json) |