4 papers
MSP-Net: Manifold-Guided Spectral Prompt Network for Hyperspectral Object Tracking
Juliu Li, Hanlin Qin, Shuowen Yang +4
Hyperspectral object tracking leverages abundant spectral information to provide unique advantages for target discrimination in complex scenes. However, existing methods typically…
DRPCA-Net: Make Robust PCA Great Again for Infrared Small Target Detection
Zihao Xiong, Fei Zhou, Fengyi Wu +5
Infrared small target detection plays a vital role in remote sensing, industrial monitoring, and various civilian applications. Despite recent progress powered by deep learning, ma…
Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning
Yahao Lu, Yuehui Li, Xingyuan Guo +3
Infrared small target detection (ISTD) is highly sensitive to sensor type, observation conditions, and the intrinsic properties of the target. These factors can introduce substanti…
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generation
Shuai Yuan, Hanlin Qin, Renke Kou +4
We pioneer a learning-based single-point prompt paradigm for infrared small target label generation (IRSTLG) to lobber annotation burdens. Unlike previous clustering-based methods,…