Multi-label contrastive hashing

Zeqiang Wei, Kai Jin, Zheng Zhang, Xiuzhuang Zhou

Abstract: Highlights•Multi-level similarity is modeled in supervised contrastive learning to hash.•We design a curriculum strategy to adaptively adjust the weight of quantization loss.•Our approach outperforms several state-of-the-art solutions on three benchmarks.