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Apr 13, 2023 · We propose an encoder-alignment-decoder framework for scene text recognition, which consists of three components: an encoder network, a ...
Dive into the research topics of 'Towards Accurate Alignment and Sufficient Context in Scene Text Recognition'. Together they form a unique fingerprint. Models ...
In this alignment model, we explicitly learn the spatial coordinate information of each character from the input reading order sequence and optimize it with ...
Bibliographic details on Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.
Jan 11, 2024 · Towards accurate alignment and sufficient context in scene text recognition. ... Alignment and Sufficient Context in Scene Text Recognition.
Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment ... Towards Accurate Alignment and Sufficient Context in Scene Text Recognition ...
Jan 24, 2024 · One problem is that the existing parameterized text shape methods are still challenging in modeling arbitrary-shaped texts. For horizontal and ...
To guarantee good performance, it is essential for STR to obtain aligned character-wise features from the whole-image feature maps. While most present works ...
First, we propose a global semantic reasoning module (GSRM) to consider global semantic context information, which is more robust and efficient than one-way ...
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Masked and Permuted Implicit Context Learning for Scene Text Recognition ... Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment.