P2Fusion, a prior-guided distillation-based framework that reformulates IVIF via dual intrinsic prompts, distill image-intrinsic priors, thermal saliency and spatial quality, into learnable dynamic regulators, and enables the network to adaptively mediate modal competition through expert specialization.
Yi Shi, Huichao Xie, Yu-Qing Wang et al.· 0 citations
PFIRNet (Probability Field Inference Network), a continuous geographic posterior inference framework that reformulates retrieval outputs as evidence for coordinate estimation rather than discrete tile selection, is proposed.
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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