mlsanityData to 7 Oct 2026

TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen

arXiv 2404.12407 ↗First posted 16 Apr 2024cs.CV cs.LGcited by 2

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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

  1. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  2. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  3. 2023A Survey of Hallucination in Large Foundation Modelscited by 365
  4. 2021Learning Placeholders for Open-Set Recognitioncited by 121
  5. 2023PILOT: A Pre-Trained Model-Based Continual Learning Toolboxcited by 64

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.