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Update README.md

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`@@ -35,7 +35,7 @@ Please download MIT imagenet pretrained [resnet101-imagenet.pth](http://scenepar`
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`37`	`37`	`### Benefits`
`38`		`-Some recent projects have already benefited from our implementations. For example, [Object Context Network(OCNet)](https://github.com/PkuRainBow/OCNet) currently achieves the state-of-the-art resultson Cityscapes and ADE20K. In addition, our code also make great contributions to [Context Embedding with EdgePerceiving (CE2P)](https://github.com/liutinglt/CE2P), which won the 1st places in all human parsing tracks in the 2nd LIP Challange.`
	`38`	+Some recent projects have already benefited from our implementations. For example, [Object Context Network(OCNet)](https://github.com/PkuRainBow/OCNet) currently achieves the state-of-the-art resultson Cityscapes and ADE20K. Our code also make great contributions to [Context Embedding with EdgePerceiving (CE2P)](https://github.com/liutinglt/CE2P), which won the 1st places in all human parsing tracks in the 2nd LIP Challange. In addition, our recent work [CCNet](https://github.com/speedinghzl/CCNet) is based on this repo.
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`40`	`40`	`### Citing`
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