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# Video Moment Retrieval in Practical Setting: A Dataset of Ranked Moments for Imprecise Queries
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The benchmark and dataset for the paper
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We recommend cloning the code, data, and feature files from the Hugging Face repository at [TVR-Ranking](https://huggingface.co/axgroup/TVR-Ranking). This repository only includes the code for ReLoCLNet. You can download the other baseline models from [XML](https://huggingface.co/LiangRenjie/XML_RVMR) and [CONQUER](https://huggingface.co/LiangRenjie/CONQUER_RVMR).
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# Video Moment Retrieval in Practical Setting: A Dataset of Ranked Moments for Imprecise Queries
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The benchmark and dataset for the paper [Video Moment Retrieval in Practical Settings: A Dataset of Ranked Moments for Imprecise Queries](https://arxiv.org/abs/2407.06597).
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We recommend cloning the code, data, and feature files from the Hugging Face repository at [TVR-Ranking](https://huggingface.co/axgroup/TVR-Ranking). This repository only includes the code for ReLoCLNet. You can download the other baseline models from [XML](https://huggingface.co/LiangRenjie/XML_RVMR) and [CONQUER](https://huggingface.co/LiangRenjie/CONQUER_RVMR).
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