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ual_bench

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  license: cc-by-4.0
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  # UAL Bench Datasets
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  [![arXiv](https://img.shields.io/badge/arXiv-2312.14494-b31b1b.svg)](https://arxiv.org/abs/2410.01180)
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  We introduce UAL-Bench, a comprehensive benchmark for unusual activity localization, featuring three video datasets: UAG-OOPS, UAG-SSBD, UAG-FunQA, and an instruction-tune dataset: OOPS-UAG-Instruct.
 
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  license: cc-by-4.0
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+ <div align="center">
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+ # UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark
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+
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+ [![arXiv](https://img.shields.io/badge/arXiv-2312.14494-b31b1b.svg)](https://arxiv.org/abs/2410.01180)
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+ ![unusual--activity--localization](https://img.shields.io/badge/Task-Unusual%20Activity%20Localization-blue)
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+ [![Project Repo](https://img.shields.io/badge/Project--repo-UAL--Bench-green)](https://github.com/Hasnat79/UAL_Bench)
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+ </div>
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  # UAL Bench Datasets
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  [![arXiv](https://img.shields.io/badge/arXiv-2312.14494-b31b1b.svg)](https://arxiv.org/abs/2410.01180)
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  We introduce UAL-Bench, a comprehensive benchmark for unusual activity localization, featuring three video datasets: UAG-OOPS, UAG-SSBD, UAG-FunQA, and an instruction-tune dataset: OOPS-UAG-Instruct.