Domain gap in adapting self-supervised depth estimation methods for stereo-endoscopy
In endoscopy, depth estimation is a task that potentially helps in quantifying visual information for better scene understanding. A plethora of depth estimation algorithms have been proposed in the computer vision community. The endoscopic domain however, differs from the typical depth estimation sc...
Main Authors: | Sharan Lalith, Burger Lukas, Kostiuchik Georgii, Wolf Ivo, Karck Matthias, De Simone Raffaele, Engelhardt Sandy |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2020-09-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2020-0004 |
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