Summary of Tv100: a Tv Series Dataset That Pre-trained Clip Has Not Seen, by Da-wei Zhou et al.
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
by Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
First submitted to arxiv on: 16 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates whether pre-trained models have comprehensive knowledge by releasing a novel dataset of images from TV series released post-2021. This dataset can be used to evaluate incremental learning, novel class discovery, and long-tailed learning, among other research areas. The study aims to determine the capabilities of pre-trained models in various applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper explores whether pre-trained models have comprehensive knowledge by creating a new dataset of TV series images. This dataset is useful for studying different machine learning techniques like incremental learning and novel class discovery. |
Keywords
* Artificial intelligence * Machine learning
