Semantic Preservation-Based Hash Code Generation for fine-grained image retrieval

Xue Li, Jiong Yu, Junlong Cheng, Ziyang Li, Chen Bian

Abstract: Highlights•Propose a Semantic Preservation-Based Hash Code Generation method for image retrieval.•The network efficiently enhancing the accuracy of fine-grained feature representation.•Intermediate feature minimizes semantic loss during hash transformation.•The adaptive category voting mask effectively preserves more semantic information.•Experimental results and analyses demonstrate the superiority of our method.