TV100: a TV series dataset that pre-trained CLIP has not seen

Conclusion The era of pre-trained models has ushered in a wealth of new insights for the machine learning community. Among the myriad of questions that arise, one of paramount importance is: ‘Do pre-trained models possess comprehensive knowledge?’ This paper seeks to address this crucial inquiry. In...

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Published inFrontiers of Computer Science Vol. 18; no. 5; p. 185349
Main Authors Zhou, Da-Wei, Qi, Zhi-Hong, Ye, Han-Jia, Zhan, De-Chuan
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.10.2024
Springer Nature B.V
Subjects
Computer Science
Datasets
FCS Special Channel on Code & Data
Letter
Machine learning
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Summary:Conclusion The era of pre-trained models has ushered in a wealth of new insights for the machine learning community. Among the myriad of questions that arise, one of paramount importance is: ‘Do pre-trained models possess comprehensive knowledge?’ This paper seeks to address this crucial inquiry. In line with our objective, we have made publicly available a novel dataset comprised of images from TV series released post-2021. This dataset holds significant potential for use in various research areas, including the evaluation of novel class iscovery and long-tailed learning, among others.
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-024-40217-z