MarCon: Max-Margin Contrastive Learning for Imbalanced Domain Adaptation Semantic Segmentation
This work derives a reformulated pixel-level contrastive learning objective by modeling feature distributions with the von Mises-Fisher distribution, and introduces a Reliability-aware Filter based on the vMF-derived metrics, which performs adaptive class-wise pixel reliability assessment to identify unreliable pixels...