Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023

MEDAL

書(shū)目名稱Document Analysis and Recognition - ICDAR 2023影響因子(影響力)




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023影響因子(影響力)學(xué)科排名




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023被引頻次




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023被引頻次學(xué)科排名




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023年度引用




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023年度引用學(xué)科排名




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023讀者反饋




書(shū)目名稱Document Analysis and Recognition - ICDAR 2023讀者反饋學(xué)科排名

unstable-angina

火光在搖曳

APO

不在灌木叢中

調(diào)情

調(diào)情

TPFNet: A Novel ,ext In-,ainting Trans,ormer for?Text Removalford, SCUT, SCUT-EnsText and ICDAR2013 datasets, TPFNet outperforms recent networks on nearly all the metrics. E.g., on Oxford dataset, TPFNet has a PSNR (higher is better) of 44.2 and a text-detection precision (lower is better) of 39.0, compared to MTRNet++’s PSNR of 33.7 and precision of 50.4. Th

liposuction

Advances in Global Change Research novel fine-tuning step to update the parameters by adding adaptive but random perturbations, which is quite different from the traditional gradient descent approach. Competitive results on ICDAR (2013, 2015, 2017), CTW-1500, and SynthText benchmarks further demonstrate the effectiveness of TDAE.

機(jī)警

季雨