Summary of Laguna: Language Guided Unsupervised Adaptation with Structured Spaces, by Anxhelo Diko et al.
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
by Anxhelo Diko, Antonino Furnari, Luigi Cinque, Giovanni Maria Farinella
First submitted to arxiv on: 23 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); 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 A novel approach to unsupervised domain adaptation is proposed, which shifts the focus from aligning representations in absolute coordinates to aligning relative positioning of equivalent concepts in latent spaces. The LAGUNA method defines a domain-agnostic structure upon semantic/geometric relationships between class labels in language space and guides adaptation, ensuring that visual space organization reflects reference inter-class relationships while preserving domain-specific characteristics. Empirical results demonstrate LAGUNA’s superiority across four diverse images and video datasets, surpassing previous works with average accuracy improvements of +3.32% on DomainNet, +5.75% in GeoPlaces, +4.77% on GeoImnet, and +1.94% mean class accuracy improvement on EgoExo4D. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to help machines learn from different types of data is developed. It’s called LAGUNA, which stands for LAnguage Guided UNsupervised Adaptation with structured spaces. This approach helps machines understand how things are related, even when the pictures or videos look very different. It works by looking at how words and meanings relate to each other, and then using that to help machines learn from new data. The results show that LAGUNA is better than previous methods at adapting to new types of data. |
Keywords
* Artificial intelligence * Domain adaptation * Unsupervised
