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LSA-PAST: Layer-Specific Adaptation and Prototype Transport for Compositional Incremental Learning

arXiv:2610.27203v1 Announce Type: new Abstract: Class-Incremental Learning (CIL) enables models to recognize new classes over time while retaining prior knowledge, but many real-world problems are compositional, where visual concepts arise from combinations of primitives such as states (i.e., red,…

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  1. 2026-10-21 04:00 · arXiv cs.AI
    LSA-PAST: Layer-Specific Adaptation and Prototype Transport for Compositional Incremental Learning

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