Distribution-Conditioned Task Routing for Class-Incremental Learning
This work identifies three sources of routing error (feature-level, task-level, and class-level misalignment) and proposes Feature Distribution Calibration (FDC), which improves final accuracy in all 40 method-dataset pairs by 4.39 percentage points on average.
Long-Huan Xu, Zhi-Peng Zhou, Wei-Liang Ji et al.
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