This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning. This breadth of scope is reflected by the papers included in this special issue, which touch topics including geometric Computer Vision, medical image processing, physical scene understanding, and interpretability of deep neural networks.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Oct 15, 2021 |
| Journal | International Journal of Computer Vision |
| Authors | Zeynep Akata, Andreas Geiger, Torsten Sattler |
| DOI | 10.1007/s11263-021-01522-3 |
| Citations | 647 |
| Source | OpenAlex |