3 papers
cs.CV2023
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations
Zhenglai Li, Chang Tang, Xinwang Liu +3
Fully supervised change detection methods have achieved significant advancements in performance, yet they depend severely on acquiring costly pixel-level labels. Considering that t…
cs.CV2023
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation
Xiao He, Chang Tang, Xinwang Liu +3
Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, in…
cs.CV2023
Hard Region Aware Network for Remote Sensing Change Detection
Zhenglai Li, Chang Tang, Xinwang Liu +4
Change detection (CD) is essential for various real-world applications, such as urban management and disaster assessment. Numerous CD methods have been proposed, and considerable r…