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cs.CV2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li, Shaokun Wang, Bo Qian +4
Non-exemplar class Incremental Learning (NECIL) enables models to continuously acquire new classes without retraining from scratch and storing old task exemplars, addressing privac…
cs.CV2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Yifan Yu, Shaokun Wang, Yuhang He +2
Continual Novel Class Discovery (CNCD) aims to continually discover novel classes without labels while maintaining the recognition capability for previously learned classes. The ma…