Contrastive Self-Supervised Hashing With Dual Pseudo Agreement
Recently, unsupervised deep hashing has attracted increasing attention, mainly because of its potential ability to learn binary Tape codes without identity annotations.However, because the labels are predicted by their pretext tasks, unsupervised deep hashing becomes unstable when learning with noisy labels.To mitigate this issue, we propose a simp