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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2404.12407 |
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| _version_ | 1866911845717114880 |
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| author | Zhou, Da-Wei Qi, Zhi-Hong Ye, Han-Jia Zhan, De-Chuan |
| author_facet | Zhou, Da-Wei Qi, Zhi-Hong Ye, Han-Jia Zhan, De-Chuan |
| contents | 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 incremental learning, novel class discovery, and long-tailed learning, among others. Project page: https://tv-100.github.io/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_12407 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen Zhou, Da-Wei Qi, Zhi-Hong Ye, Han-Jia Zhan, De-Chuan Computer Vision and Pattern Recognition Machine Learning 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 incremental learning, novel class discovery, and long-tailed learning, among others. Project page: https://tv-100.github.io/ |
| title | TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen |
| topic | Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2404.12407 |