JMLNet: Joint Multi-Label Learning Network for Weakly Supervised Semantic Segmentation in Aerial Images

JMLNet: Joint Multi-Label Learning Network for Weakly Supervised Semantic Segmentation in Aerial Images

Weakly supervised semantic segmentation in aerial images has attracted growing research attention due to the significant saving in annotation cost. Most of the current approaches are based on one specific pseudo label. These methods easily overfit the wrongly labeled pixels from noisy label and limi...

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Bibliographic Details
Main Authors: Rongxin Guo, Xian Sun, Kaiqiang Chen, Xiao Zhou, Zhiyuan Yan, Wenhui Diao, Menglong Yan
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
deep learning
image segmentation
weak supervision
aerial image
multi-label learning
Online Access:https://www.mdpi.com/2072-4292/12/19/3169

Internet

https://www.mdpi.com/2072-4292/12/19/3169

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