Contextrast++: Robust Multi-Scale Contextual Contrastive Learning for Semantic Segmentation
产业动态AI 52
来源：arXiv cs.RO发布时间待核实
arXiv:2608.22679v1 Announce Type: cross Abstract: Semantic segmentation has rapidly advanced with deep learning; however, challenges remain in effectively capturing local and global contexts as well as addressing the long-tailed distribution problem. To tackle these issues, we present Contextrast++, a robust contrastive learning method for semantic segmentation that improves multi-scale feature integration and mitigates class imbalance issues.