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most citedDelving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives

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cs.CV2025

Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Sheng Luo, Yi Zhou, Jinsong Shi +1

Existing incremental learning (IL) methods rely on strong assumptions: incoming tasks either introduce exclusively new classes or new domains (i.e., Class IL and Domain IL), or inc…