Unsupervised Feature-Aware Noise Contrastive Learning for Red Panda Re-Identification

A novel unsupervised Feature-Aware Noise Contrastive Learning (FANCL) method is proposed to effectively extract robust and discriminative features for red panda re-identification, without relying on labeled data.