6 papers
P2Fusion: Prompt-based Progressive Infrared-Visible Image Fusion via Dual-Prior Distillation
Yi Shi, Huichao Xie, Yuqing Wang +7
Infrared-visible image fusion (IVIF) is pivotal for multimodal perception, yet reconciling the inherent information disparity between thermal and textural features remains a fundam…
UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery
Haibin Tian, Huichao Xie, Xuelin Qian +3
Unmanned aerial vehicles (UAVs) increasingly rely on visual grounding capabilities to localize task-relevant targets from diverse instructions in complex aerial scenes. Existing re…
Granular Ball Guided Masking: Structure-aware Data Augmentation
Shuyin Xia, Fan Chen, Dawei Dai +4
Deep learning models have achieved remarkable success in computer vision but still rely heavily on large-scale labeled data and tend to overfit when data is limited or distribution…
IrisNet: Infrared Image Status Awareness Meta Decoder for Infrared Small Targets Detection
Xuelin Qian, Jiaming Lu, Zixuan Wang +4
Infrared Small Target Detection (IRSTD) faces significant challenges due to low signal-to-noise ratios, complex backgrounds, and the absence of discernible target features. While d…
Dual-Granularity Semantic Prompting for Language Guidance Infrared Small Target Detection
Zixuan Wang, Haoran Sun, Jiaming Lu +5
Infrared small target detection remains challenging due to limited feature representation and severe background interference, resulting in sub-optimal performance. While recent CLI…
-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data
Xidan Zhang, Yihan Zhuang, Qian Guo +5
Approaches for improving generative adversarial networks (GANs) training under a few samples have been explored for natural images. However, these methods have limited effectivenes…