Infrared-visible image fusion (IVIF) is pivotal for multimodal perception, yet reconciling the inherent information disparity between thermal and textural features remains a fundamental challenge. Existing prior-guided methods often rely on static constraints that induce optimization conflicts or utilize extrinsic sema...
Yi Shi, Huichao Xie, Yuqing Wang et al.· 0 citations
UAV (Unmanned Aerial Vehicle)-to-satellite self-localization is commonly treated as satellite tile retrieval. This makes large-area search tractable, but it also forces a continuous localization problem into a discrete ranking form. Once the task is defined this way, training naturally relies on hard positive–negative...
Yue-Qing Kang, Xiao-Gang Yang, Bin Tang et al.· Remote Sensing· 0 citations
This work introduces Universal Referring, a generalized UAV referring task that jointly expands the query modality and the output cardinality, and presents UAV-URNet, a detection-style baseline that maps heterogeneous queries into a shared query space and predicts variable-size target sets through set prediction.
An illumination-guided saturation constraint loss is designed, which adaptively constrains saturation in the HSV space to reduce color cast and suppress oversaturation and shows that UAV-LIENet outperforms representative existing methods in both quantitative metrics and visual quality.
Yue-Qing Kang, Rui-Tao Lu, Xiao-Gang Yang et al.· Journal of King Saud Univers...· 0 citations
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