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Jinsha Tian

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Open access Aug 2026

Adaptive Residual Correction Network for Efficient Single Image Super-Resolution

This work revisits CNN-based residual learning for SISR and proposes an adaptive residual correction network (AdaRCN), a residual correction mechanism that adaptively compensates for the bias in the residual, which is utilized to ease error accumulation and improve mapping accuracy.

Jinsha Tian, Jun-Yu Guo, Bing-Bin Feng et al. · 0 citations

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