WebApr 15, 2024 · Abstract and Figures. In this paper, we study the problem of text line recognition. Unlike most approaches targeting specific domains such as scene-text or handwritten documents, we investigate ... WebMMEngine . 深度学习模型训练基础库. MMCV . 基础视觉库. MMDetection . 目标检测工具箱
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WebNov 1, 2024 · Note that GTC applies extra image data SA (short for SynthAdd [35]) for training and achieves best performance on CUTE80. Even so, our method outperforms GTC on all the other datasets. Compared with the linguistic-based methods, the recognition accuracy of PMMN on all datasets far exceeds them, especially on irregular texts (leading … WebAlthough they cover a huge number of word instances, the proportion of special characters like punctuations is relatively small. To compensate the lack of special characters, we synthesize additional 1.6-million word images (denoted as SynthAdd) using the synthetic engine proposed by [Gupta, Vedaldi, and Zisserman2016]. maxblue starmoney
[2104.07787] Rethinking Text Line Recognition Models - arXiv.org
WebHamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition . Recently, inspired by Transformer, self-attention-based scene text recognition approaches have achieved outstanding performance. WebDec 27, 2024 · This study focuses on improving the optical character recognition (OCR) data for panels in the COMICS dataset, the largest dataset containing text and images from comic books. WebDec 29, 2024 · Synthetic image datasets: SynthText (Synth800k), MJSynth (Synth90k), SynthAdd (password:627x) Real image datasets: IIIT5K, SVT, IC03, IC13, IC15, COCO-Text, SVTP, CUTE80_Cropped; An example of cropping SynthText can be found at data_utils/crop_synthtext.py hermes thailand สาขา