SLU-2K is a new closed-ended QA benchmark that measures semantic understanding in sign language video, showing MLLMs near random and fine-tuned SOTA systems at 56.7-75.2% accuracy.
An efficient sign language translation using spa- tial configuration and motion dynamics with LLMs.arXiv preprint arXiv:2408.10593, 2024
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SLU-2K: A Question-Based Benchmark for Semantic Evaluation of Sign Language Translation
SLU-2K is a new closed-ended QA benchmark that measures semantic understanding in sign language video, showing MLLMs near random and fine-tuned SOTA systems at 56.7-75.2% accuracy.