Individual mapping and asymmetric dual supervision for discrete cross-modal hashing

Song Wang, Huan Zhao, Zixing Zhang, Keqin Li

Abstract: Highlights•The proposed IMADS jointly captures specific and shared features of input instances.•An asymmetric dual supervision learning framework yields effective hash functions.•A discrete optimization algorithm alleviates cumulative quantization of the model.