Learning to See by Looking at Noise

Current vision systems are trained on huge datasets, and these datasets come with costs: curation is expensive, they inherit human biases, and there are concerns over privacy and usage rights. To counter these costs, interest has surged in learning from cheaper data sources, such as unlabeled images...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Baradad, Manel, Wulff, Jonas, Wang, Tongzhou, Isola, Phillip, Torralba, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!