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HOPE-Based Temporal Modeling for Continuous Sign Language Recognition

Continuous Sign Language Recognition (CSLR) is a challenging sequence-to-sequence task that requires simultaneous modeling of frame-level motion patterns, gloss-level transitions, and sentence-level dependencies. While traditional CSLR methods mainly emphasize frame-level feature extraction, they often insufficiently c...