Scribble-Supervised Segmentation of Aerial Building Footprints Using Adversarial Learning
Aerial image segmentation usually requires a large amount of pixel-level masks in order to achieve quality performance. Obtaining these annotations can be both costly and time-consuming, limiting the amount of data available for training. In this paper, we present an approach for learning to segment...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8485295/ |