Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition
Sign language, the primary communication medium of the Deaf, uses visual cues from upper body, hands, and face. Sign Language Recognition (SLR) aims to learn salient representations from these cues to bridge the communication gap between Deaf and hearing communities. Existing Graph Neural Network-ba...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11032083/ |
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