This project provides source code for the paper “Localizing Semantic Patches for Accelerating Image Classification.”

It introduce a two-step image classification pipeline: Given an image a lightweight CNN proposes k relevant patches then, the each patch is classified by a stronger CNN and the probabilities are gradually aggregated to a final prediciton

@inproceedings{yang2022localizing, title={Localizing Semantic Patches for Accelerating Image Classification}, author={Chuanguang Yang, Zhulin An, Yongjun Xu}, booktitle={IEEE International Conference on Multimedia and Expo}, year={2022} }