Mutual Quantization for Cross-Modal Search With Noisy Labels

no code implementations • CVPR 2022 • Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng

More specifically, we propose a proxy-based contrastive (PC) loss to mitigate the gap between different modalities and train networks for different modalities jointly with small-loss samples that are selected with the PC loss and a mutual quantization loss.

Quantization