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TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
We propose a 1-D split to address the challenges of complexity and replace the CNN with the transformer encoder to reduce the need for a context modeling module.
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
In this paper, we propose an Iterative Fusion based Recognizer (IFR) for low quality scene text recognition, taking advantage of refined text images input and robust feature representation.
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