Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction

Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction

Weakly supervised semantic segmentation (WSSS) methods, utilizing only image-level annotations, are gaining popularity for automated building extraction due to their advantages in eliminating the need for costly and time-consuming pixel-level labeling. Class activation maps (CAMs) are crucial for we...

Full description

Bibliographic Details
Main Authors: Jicheng Wang, Xin Yan, Li Shen, Tian Lan, Xunqiang Gong, Zhilin Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
building extraction
high-resolution remote sensing image
weakly supervised semantic segmentation
self-attentive aggregation
class activation map
Online Access:https://www.mdpi.com/2072-4292/15/5/1432

Internet

https://www.mdpi.com/2072-4292/15/5/1432

Similar Items