Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos
arXiv:2605.12320v1 Announce Type: new
Abstract: Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonoscopy applications, from polyp characterization to automated reporting and retrieval. Supervised contrasti…