This is a Pytorch implementation of our paper Correlating Edge, Pose with Parsing accepted by CVPR2020. We propose a Correlation Parsing Machine (CorrPM) utilizing a Heterogeneous Non-Local (HNL) network to capture the correlations among features from human edge, pose and parsing.

Pytorch == 0.4.1

Please download LIP dataset.

TO BE FINISHED

./run_eval.sh

Our trained model can be downloaded from Baidu drive (password:uzty) or Google drive.