Deep hybrid manifold for image set classification

Published: 01 Jan 2024, Last Modified: 03 Nov 2024Image Vis. Comput. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The image set data is modeled as SPD manifold and Grassmann manifold data and used as input to the network simultaneously.•The Hybrid manifold autoencoder adds the reconstruction process and hybridizes complementary information of manifolds.•The Maximum fusion module fuses the classification results of each HMAE to prevent the information loss.
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