Guangcan Liu*

Confidence Self-Calibration for Multi-Label Class-Incremental Learning

"The partial label challenge in Multi-Label Class-Incremental Learning (MLCIL) arises when only the new classes are labeled during training, while past and future labels remain unavailable. This issue leads to a proliferation of false-positive errors due to erroneously high confidence multi-label pr…