CCNet

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Implementations

CCNet: Criss-Cross Attention for Semantic Segmentation

This code is a implementation of the experiments on Cityscapes in the CCNet. We implement our method based on open source pytorch segmentation toolbox.

Update on 2018/12/10. Renew the code and release trained models with R=1,2. The trained model with R=2 achieves 79.74% on val set and 79.01% on test set with single scale testing.

Update on 2018/11/28. Release Code.

Model: https://github.com/speedinghzl/CCNet/blob/master/networks/ccnet.py

Github: https://github.com/speedinghzl/CCNet

segmentationccnet
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