5 citations · 5 across the 3 of their papers we have counts for
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★ 5 cited
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…