AREA stabilizes attribute extraction with principal geodesic analysis on hyperspherical space and aggregation with lightweight task experts plus variational bottleneck and optimal transport routing, outperforming SOTA in CLIP-based CIL.
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AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
AREA stabilizes attribute extraction with principal geodesic analysis on hyperspherical space and aggregation with lightweight task experts plus variational bottleneck and optimal transport routing, outperforming SOTA in CLIP-based CIL.