TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
Not on the map. Why?
Abstract (arXiv)
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/
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 5 of its 8 references that are in the map. First posted on arXiv 16 Apr 2024.
Builds on
5 of 8 references.
References · 5
- 2021Zero-Shot Text-to-Image Generationcited by 4,276
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
- 2023A Survey of Hallucination in Large Foundation Modelscited by 365
- 2021Learning Placeholders for Open-Set Recognitioncited by 121
- 2023PILOT: A Pre-Trained Model-Based Continual Learning Toolboxcited by 64
Built on by
Citing papers per year: 2026: 2.
2 papers.
- 2026C3Box: A CLIP-based Class-Incremental Learning Toolboxcited by 3
- 2026LiteEmbed: Adapting CLIP to Rare Classescited by 0
- 2026C3Box: A CLIP-based Class-Incremental Learning Toolbox28 Jan 2026
- 2026LiteEmbed: Adapting CLIP to Rare Classes14 Jan 2026