3 papers
cs.CV2026
ASFR-Net: Adversarial Alignment and Spatio-Frequency Refinement Network for Heterogeneous Remote Sensing Image Change Detection
Xin-Jie Wu, Zhi-Hui You, Si-Bao Chen +4
The core challenge of heterogeneous change detection in remote sensing imagery lies in effectively decoupling genuine land-cover changes from significant modal disparities caused b…
cs.CV2025
Pedestrian Attribute Recognition via Hierarchical Cross-Modality HyperGraph Learning
Xiao Wang, Shujuan Wu, Xiaoxia Cheng +3
Current Pedestrian Attribute Recognition (PAR) algorithms typically focus on mapping visual features to semantic labels or attempt to enhance learning by fusing visual and attribut…
cs.CV2025
Semantic Change Detection of Roads and Bridges: A Fine-grained Dataset and Multimodal Frequency-driven Detector
Qingling Shu, Sibao Chen, Xiao Wang +4
Accurate detection of road and bridge changes is crucial for urban planning and transportation management, yet presents unique challenges for general change detection (CD). Key dif…