Summary of Uniemox: Cross-modal Semantic-guided Large-scale Pretraining For Universal Scene Emotion Perception, by Chuang Chen et al.
UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception
by Chuang Chen, Xiao Sun, Zhi Liu
First submitted to arxiv on: 27 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV)
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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 proposes UniEmoX, a large-scale pretraining framework for visual emotion analysis. Existing methods have limitations due to the ambiguity of emotion perception and diverse data scenarios. UniEmoX integrates scene-centric and person-centric low-level image spatial structural information to derive more nuanced emotional representations. The framework distills rich semantic knowledge from the CLIP model and enhances emotional embedding representations. This is the first large-scale pretraining framework that combines psychological theories with contrastive learning and masked image modeling techniques for emotion analysis across diverse scenarios. The paper also introduces a new visual emotional dataset, Emo8, which covers various domains and tasks. Comprehensive experiments validate the effectiveness of UniEmoX on six benchmark datasets. This research has significant implications for computer vision and psychology. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using computers to understand emotions in pictures. People have different ways of understanding emotions, so existing methods don’t work well across all situations. The researchers created a new way called UniEmoX that combines information from the scene and people in the picture to better understand emotions. They also made a big dataset called Emo8 with many types of images that can be used for this task. The paper shows that UniEmoX works well on different types of pictures and tasks. This research can help computers understand human emotions better, which is important for many areas such as psychology and computer vision. |
Keywords
» Artificial intelligence » Embedding » Pretraining
