Unsupervised Domain Adaptation for Depth Prediction from Images

State-of-the-art approaches to infer dense depth measurements from images rely on CNNs trained end-to-end on a vast amount of data. However, these approaches suffer a drastic drop in accuracy when dealing with environments much different in appearance and/or context from those observed at training t...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 10 vom: 06. Okt., Seite 2396-2409
1. Verfasser:	Tonioni, Alessio (VerfasserIn)
Weitere Verfasser:	Poggi, Matteo, Mattoccia, Stefano, Stefano, Luigi Di
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't