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cs.CV2026
Hierarchical Dual-Subspace Decoupling for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Kun Wei +2
Class-incremental learning aims to continuously acquire new knowledge while preserving previously learned information, thereby mitigating catastrophic forgetting. Existing methods…
cs.CV2026
DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Xi Wang +3
Continual learning enables vision-language models to accumulate knowledge and adapt to evolving tasks without retraining from scratch. However, in multi-domain task-incremental lea…