Shadow removal is fundamentally an ill-posed physical inverse problem, often complicated by continuous photometric gradients (penumbras) and their complex entanglement with high-frequency background textures. Existing paradigms, relying either on explicit spatial masks or implicit semantic priors from massive vision mo...
Zhi-Xiong Yang, Jing-Yuan Xia, Yu-Xin Zhao et al.· IEEE Transactions on Pattern...· 0 citations
Earth observation (EO) data provide rich temporal supervision, yet existing remote sensing foundation models mainly exploit sequential observations through imposing predefined pairwise relations or aggregating holistic reconstruction context. We seek to further exploit the sparse and nonuniform temporal sampling inhere...
Bo-Wen Peng, Li Liu, Yong-Xiang Liu et al.· 0 citations
A FMs based SGG (FMSGG) framework is proposed, leveraging the broad pretraining of FMs to benefit tail relationships and zero-shot triplets, and introduces the triplet-aware logit adjustment method to mitigate long-tail bias.
Shuzhou Sun, Jing Liu, Li Liu et al.· IEEE Transactions on Pattern...· 0 citations
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