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2 datasets found
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Tags:
temporal grounding
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MAD: A Large-Scale Benchmark for Long-Form Video Temporal Grounding
MAD: A large-scale benchmark for long-form video temporal grounding, containing over 384K natural language queries that derived from high-quality audio description of mainstream...
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NExT-GQA
NExT-GQA is an extension of NExT-QA with 10.5K temporal grounding (or location) labels tied to the original QA pairs.
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