7 papers · 1 filter
SPARK-SAM: Self-Prompt Adaptation with Response Knowledge for SAM in Infrared Small Target Segmentation
Aji Mao, Zhenming Peng, Bailin Mu +1
Promptable segmentation models provide a reusable interface, but direct transfer to automatic infrared small-target segmentation (IRSTD) exposes a mismatch between spatial prompts…
Spatially Selective Self-Training for Unsupervised Building Change Detection
Wafaa I. M. Hussin, Zhi Lu, Anas M. I. Mohammed +3
Unsupervised building change detection aims to learn building-change masks from unlabeled bi-temporal remote sensing images. Existing label-free methods often follow a discrepancy-…
STGBD-Net: Spatio-temporal Gradient Basis Decomposition Network for Infrared Small Target Detection
Chen Hu, Mingyu Zhou, Shuai Yuan +4
A key challenge in infrared small target detection (IRSTD) is that weak target signal responses are easily obscured by strong background clutter, frequently resulting in missed det…
FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection
Yian Huang, Qing Qin, Aji Mao +4
Infrared small target detection (ISTD) has been a critical technology in defense and civilian applications over the past several decades, such as missile warning, maritime surveill…
DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection
Chen Hu, Yian Huang, Kexuan Li +5
Infrared small target detection (ISTD) is widely used in civilian and military applications. However, ISTD encounters several challenges, including the tendency for small and dim t…
ARFC-WAHNet: Adaptive Receptive Field Convolution and Wavelet-Attentive Hierarchical Network for Infrared Small Target Detection
Xingye Cui, Junhai Luo, Jiakun Deng +3
Infrared small target detection (ISTD) is critical in both civilian and military applications. However, the limited texture and structural information in infrared images makes accu…