LA-Sign achieves state-of-the-art skeleton-based sign language recognition on WLASL and MSASL by using recurrent looped transformers with adaptive hyperbolic geometry alignment.
In: proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
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STAND adds semantic anchoring and dual-granularity disambiguation modules to address viewpoint, scale, and knowledge ambiguities in remote sensing change captioning.
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LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition
LA-Sign achieves state-of-the-art skeleton-based sign language recognition on WLASL and MSASL by using recurrent looped transformers with adaptive hyperbolic geometry alignment.
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STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning
STAND adds semantic anchoring and dual-granularity disambiguation modules to address viewpoint, scale, and knowledge ambiguities in remote sensing change captioning.