Update README.md

chengyangfu · Jan 31, 2019 · e635cd4 · e635cd4
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@@ -31,7 +31,7 @@ Follow the [maskrcnn-benchmark](./OLD_README.md) to install code and set up the
 | ResNet-50-FPN  | 39.4/58.6/42.3/21.9/42.0/51.0 | 0.124 | 34.9/55.7/37.1/15.1/36.7/50.4 | 0.139 | [link](https://drive.google.com/file/d/17QnkNoibgzRnnSeLDFo27LmgPUifFBxz/view?usp=sharing) |
 | ResNet-101-FPN | 41.4/ 60.8/44.6/23.0/44.5/53.5 | 0.145 | 36.6/58.0/39.1/16.2/38.8/52.7 | 0.160 | [link](https://drive.google.com/file/d/1Fl-TI1oDRVBFYI1h1mn7IiEOXwTIR3AC/view?usp=sharing) |
 | ResNet-101-FPN-GN | 41.7/61.7/45.0/23.5/44.7/52.8 | 0.153 | 36.7/58.8/39.3/16.4/39.4/52.6 | 0.164 | [link](https://drive.google.com/file/d/19MCU9Q0YXbIrc4fRSPRV53T_RSxiVqh0/view?usp=sharing) | 
-| ResNeXt32x8d-101-FPN  | 42.6/62.5/46.0/24.8/45.6/53.8 | 0.231 | 37.4/59.8/40.0/17.6/39.9/53.4 | 0.270 | [link](https://drive.google.com/file/d/1n-tcTUZ28s0uvDOB_gZmsFtxA8flGxKF/view?usp=sharing) |
+| ResNeXt32x8d-101-FPN-GN  | 42.6/62.5/46.0/24.8/45.6/53.8 | 0.231 | 37.4/59.8/40.0/17.6/39.9/53.4 | 0.270 | [link](https://drive.google.com/file/d/1n-tcTUZ28s0uvDOB_gZmsFtxA8flGxKF/view?usp=sharing) |
 
 P.S. evaluation metric: AP, AP50, AP75, AP(small), AP(medium), AP(large), please refer to [COCO](http://cocodataset.org/#detection-eval) for detailed explanation. The inference time is measured on Nvidia 1080Ti.