Author

Xiaopeng Hong

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Preprint Aug 2026

Knowing Beyond the Known: Reinforced Knowledge Specification for Multi-Label Class-Incremental Learning

Existing class-incremental learning methods struggle in multi-label scenarios (MLCIL) due to the inherent contradiction of learning objectives arising from co-occurring and incomplete labels. We argue that the core obstacle is the model's ambiguous boundary between known and unknown knowledge, which undermines historic...

Ao-Ting Zhang, Dong-Bao Yang, Chang Liu et al. · 0 citations

Jul 2026

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

To minimize knowledge interference during fusion, this work presents a gradient-based orthogonal refreshing strategy that projects gradient updates of new domains onto the orthogonal complement of the fused historical subspace, supporting continual adaptation without forgetting.

Aoting Zhang, Dongbao Yang, Chang Liu et al. · arXiv.org · 0 citations