HC-SOINN with STAR captures topological manifold structure in class features and aligns it to non-linear drift, improving over point-wise NCM when integrated into existing CIL methods.
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Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
HC-SOINN with STAR captures topological manifold structure in class features and aligns it to non-linear drift, improving over point-wise NCM when integrated into existing CIL methods.