SOURCE-LINKED INTELLIGENCE
SignMatch: Matching Dictionary Signs to Continuous Sign Language Video
The objective of this paper is to match dictionary sign videos to corresponding signs in continuous signing videos, where a match is defined by the visual similarity alone - the handshape and motion relative to the body. To achieve this, we learn a prototype-structured sign embedding space from continuous video annotated with signs, where each learnable prototype corresponds to a sign class. Isolated dictionary videos are then mapped into this sign space, enabling the matching between dictionary exemplars and continuous sign instances. This design supports direct dictionary-guided sign matchin
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T21:33:33.000Z
First collected: 2026-09-21T05:51:54.566Z. This is not the publication date.