Pooling-based Visual Transformer with low complexity attention hashing for image retrieval

Huan Ren, Jiangtao Guo, Shuli Cheng, Yongming Li

Abstract: Highlights•An end-to-end learning framework for image retrieval is proposed, namely PTLCH.•LCA modules are embedded on top of the network.•A new deep hash learning loss framework is designed.•The superior performance of PTLCH method is demonstrated experimentally.