7 papers · 1 filter
SPARK-SAM: Learning How to Prompt and Respond for 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…
HIMEC: Directional Change Representation and Fixed-Interface Decoding for Remote Sensing Image Change Captioning
Aysha Ashraf, Shaina Ashraf, Wafaa I. M. Hussin +3
Remote sensing image change captioning (RSICC) converts bitemporal imagery into a sentence describing semantic changes. Most RSICC methods condition caption decoders directly on fu…
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-…
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…
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…
CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
Jiakun Deng, Kexuan Li, Xingye Cui +4
Infrared small target detection (ISTD) plays a critical role in a wide range of civilian and military applications. Existing methods suffer from deficiencies in the localization of…