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Published 20 hours ago • verified publisher icon yytzsy
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Code for the paper: Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos

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Links to data files on README.md

Hello, The links [charades_i3d_rgb.hdf5](https://cloud.tsinghua.edu.cn/f/fd155bd64baf4359ada9/?dl=1), [activitynet_c3d_fc6_stride_1s.hdf5](https://cloud.tsinghua.edu.cn/d/203f17ed08ae41f69a0e/), [tacos_c3d_fc6_nonoverlap.hdf5](https://cloud.tsinghua.edu.cn/f/876b5550bd884bf1bb77/?dl=1) are no longer available. Would you mind making them public again? Thanks!

howtoosee avatar howtoosee

Training equipment

Hello, very meaningful work. How many GPUs are needed for the training? How long is it altogether?

Accept-AI avatar Accept-AI

Some thing about the data generations

Hi, I am trying to use your code to generate training and testing data of Tacos, but the "timestamps" and "duration" in diractionary of three JSON files confused me. It...

jianhua2022 avatar jianhua2022

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verified publisher icon yytzsy

Metadata

Code for the paper: Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos

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