DINOv2: Learning Robust Visual Features without Supervision

The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision. These models could greatly simplify the use of images in any system by producing all-purpose visual features, i.e., features...

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Veröffentlicht in:	Transactions on Machine Learning Research Journal
Hauptverfasser:	Oquab, Maxime, Darcet, Timothée, Moutakanni, Théo, Vo, Huy, Szafraniec, Marc, Khalidov, Vasil, Fernandez, Pierre, Haziza, Daniel, Massa, Francisco, El-Nouby, Alaaeldin, Assran, Mahmoud, Ballas, Nicolas, Galuba, Wojciech, Howes, Russell, Huang, Po-Yao, Li, Shang-Wen, Misra, Ishan, Rabbat, Michael, Sharma, Vasu, Synnaeve, Gabriel, Xu, Hu, Jegou, Hervé, Mairal, Julien, Labatut, Patrick, Joulin, Armand, Bojanowski, Piotr
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	[Amherst Massachusetts]: OpenReview.net, 2022 2024
Schlagworte:	Artificial Intelligence Computer Science Computer Vision and Pattern Recognition Computer Vision and Pattern Recognition (cs.CV) FOS: Computer and information sciences
ISSN:	2835-8856
Online-Zugang:	Volltext
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