arXiv Computer Vision November 2, 2026 By Zhibin Ma, Pengwen Dai, Zhigang Yao, Xugong Qin, Wenqi Ren, Xiaochun Cao

FlexReader: Towards Adaptive Decoding Paths for Efficient Arbitrary-Length Scene Text Recognition

Read the original on arXiv Computer Vision →

FlexReader is a scene text recognition model that supports multiple decoding strides, allowing a single model to balance accuracy and efficiency across various datasets. It introduces a Sub-string Perception module to extract target substrings from visual features and uses parallel decoding blocks to independently decode each character. During inference, an Adaptive Prefix Decoding strategy selects the optimal stride at each step based on confidence, enabling robust recognition of long, curved, or occluded text while speeding up decoding up to 6× compared to autoregressive methods.

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