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MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning.

arXiv:2610.25689v1 Announce Type: cross Abstract: As deep neural networks are required to continuously adapt to evolving data, class-incremental learning (CIL) has become an active research area. However, most existing works primarily focus on improving accura

arXiv cs.AIResearch source·