Erroneous pixel prediction for semantic image segmentation
Abstract We consider semantic image segmentation. Our method is inspired by Bayesian deep learning which improves image segmentation accuracy by modeling the uncertainty of the network output. In contrast to uncertainty, our method directly learns to predict the erroneous pixels of a segmentation ne...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-10-01
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Series: | Computational Visual Media |
Subjects: | |
Online Access: | https://doi.org/10.1007/s41095-021-0235-7 |