DCNet improves exemplar-free class-incremental learning by embedding classes into mutually orthogonal hyperspherical directions and adaptively compensating intra-class aggregation, outperforming prior exemplar-free and many replay-based methods.
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On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
DCNet improves exemplar-free class-incremental learning by embedding classes into mutually orthogonal hyperspherical directions and adaptively compensating intra-class aggregation, outperforming prior exemplar-free and many replay-based methods.