Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints
Obtaining high quality labels is a major challenge for the application of deep neural networks in the remote sensing domain. A common way of acquiring labels is the usage of crowd sourcing which can provide much needed training data sets but also often contains incorrect labels which can affect the...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Remote Sensing |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frsen.2022.1100012/full |