5 papers
Dual Sparse Aggregation Transformer for Multispectral Object Detection
Wencong Wu, Xiuwei Zhang, Hanlin Yin +2
Transformer-based approaches have obtained excellent performance in multispectral object detection tasks due to their ability to model long-range dependencies and capture complemen…
SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
Haodong Wang, Tao Zhuo, Xiuwei Zhang +3
Achieving pixel-level registration between SAR and optical images remains a challenging task due to their fundamentally different imaging mechanisms and visual characteristics. Alt…
FreDFT: Frequency Domain Fusion Transformer for Visible-Infrared Object Detection
Wencong Wu, Xiuwei Zhang, Hanlin Yin +3
Visible-infrared object detection has gained sufficient attention due to its detection performance in low light, fog, and rain conditions. However, visible and infrared modalities…
AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation
Ran Lingyan, Wen Dongcheng, Zhuo Tao +3
Change Detection (CD) is an essential field in remote sensing, with a primary focus on identifying areas of change in bi-temporal image pairs captured at varying intervals of the s…
MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization
Yinghui Xing, Shuo Yang, Song Wang +4
Multispectral pedestrian detection is an important task for many around-the-clock applications, since the visible and thermal modalities can provide complementary information espec…