TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition
Abstract: Highlights•A universal skeleton multi-feature has been proposed to characterize sign language motions from different perspectives.•An end-to-end multi-stream network architecture has been constructed to efficiently extract multiple feature information from the input.•A universal multi-level information sharing mechanism has been designed.
External IDs:dblp:journals/ijon/DengLCYZG24
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