Summary of Explaining Human Comparisons Using Alignment-importance Heatmaps, by Nhut Truong et al.
Explaining Human Comparisons using Alignment-Importance Heatmaps
by Nhut Truong, Dario Pesenti, Uri Hasson
First submitted to arxiv on: 8 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 This paper proposes a novel approach to explainability in deep-vision models using Alignment Importance Score (AIS) heatmaps. The AIS reflects the unique contribution of each feature-map to the alignment between deep neural networks’ (DNNs) representational geometry and that of humans. By constructing representations using only higher-scoring AIS feature maps, the paper shows that prediction of out-of-sample human similarity judgments is improved. The approach also provides image-specific heatmaps that visually indicate areas corresponding to feature-maps with higher AIS scores, offering an intuitive explanation of which image areas are more important when comparing images. This method improves prediction of human similarity judgments from DNN embeddings and provides interpretable insights into the relevant information in image space. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how computers can better recognize what makes two images similar or different. They developed a new way to “see” which parts of an image are most important for comparing it to another image. This is useful because it lets humans and computers agree on what makes certain images more alike than others. By looking at the heatmaps, we can see which areas of an image are crucial for making those comparisons. The paper shows that this method improves how well computers predict whether two images are similar or not. It also helps us understand why some images might be more important in certain situations. |
Keywords
» Artificial intelligence » Alignment » Feature map
