The NDOrder can recognize text images with occluded and low-quality characters. The ROG module ensures the method work with a novel decoding order. The VCP module constructs a robust connection among image, content and position. We contribute to a new scene text dataset OLQT with 245 text instances.
Sep 1, 2024
Jul 17, 2024 · In this paper, we present a novel decoding order where good-quality characters can first be decoded followed by low-quality characters, which ...
We present a novel method to improve action recognition by leveraging a set of captioned videos. By learning linear projections to map videos and text onto a ...
NDOrder: Exploring a novel decoding order for scene text recognition. Text recognition in scene images is still considered as a challenging task for the ...
NDOrder: Exploring a novel decoding order for scene text recognition. Article. Mar 2024; EXPERT SYST APPL. Dajian Zhong · Shujing Lyu · Yue Lu ...
This paper aims to establish a dependable technique for identifying altered text in handwritten document images, even in scenarios with high levels of noise ...
Oct 28, 2024 · NDOrder: Exploring a novel decoding order for scene text recognition. Expert Systems with Applications (2024), 123771. Google Scholar. [63].
Aug 11, 2024 · We introduce a novel method named Decoder Pre-training with only text for STR (DPTR). DPTR treats text embeddings produced by the CLIP text encoder as pseudo ...
Missing: NDOrder: Exploring
The transformer is proposed to encode and capture textual information from the symmetry patches for text detection and recognition. The decoder receives the ...
3354–3364). https://doi.org/10.1109/ICCV48922.2021.00334; Zhong, NDOrder: Exploring a novel decoding order for scene text recognition, Expert Systems with ...