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Shenzhen Campus of Sun Yat-sen University, Shenzhen Key Laboratory of Adversarial Artificial Intelligence
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RISTER achieves state-of-the-art accuracy in multi-oriented scene text recognition by embedding rotation invariance with theoretical guarantees, eliminating reliance on data-driven orientation correction.
Loop-Mamba not only restores old photos more effectively but also introduces a novel degradation-aware framework that outperforms state-of-the-art methods by leveraging persistent memory and semantic guidance.
