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Graph-embedded discriminative SPD autoencoder for image set classification
DOI:10.1016/j.patcog.2026.114922.png)
Abstract
En 中文
• Incorporation of graph embedding into SPDNet layers to preserve manifold geometry.
• Proposal of a discriminative class center contrastive loss on SPD manifolds.
• Design of an SPD autoencoder with two-stage transformations and joint optimization.
Keywords:
SPD manifold
Autoencoder
Graph embedding
Class-center contrastive
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
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