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This article examines the emergent legal strategy of challenging the authenticity of visual evidence by claiming it was ...
Compared with traditional methods, deep learning-based SAR-optical image matching models largely rely on supervision with ground truths, where the matching accuracy suffers because of unseen image ...
In this paper, a novel robust image alignment algorithm is proposed for images with text template using clustering and robust subspace learning. Experiment shows it can perform well even in extreme ...
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