Divide-and-conquer for enhancing unlabeled learning, stability, and plasticity in semi-supervised continual learning Aug 12, 2025· Yue Duan , Taicai Chen , Lei Qi Yinghuan Shi · 0 min read Cite URL Type Conference paper Publication Proceedings of the IEEE/CVF International Conference on Computer Vision Last updated on Aug 12, 2025 Authors Yinghuan Shi Nanjing University ← Correspondence as video: test-time adaption on SAM2 for reference segmentation in the wild Aug 12, 2025 Make your training flexible: towards deployment-efficient video models Aug 12, 2025 →