A Comprehensive End-to-End Computer Vision Framework for Restoration and
Recognition of Low-Quality Engineering Drawings

A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings

21 December 2023

Papers citing "A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings"

9 / 9 papers shown

Title
Deep Image Deblurring: A Survey Kaihao Zhang Wenqi Ren Wenhan Luo Wei-Sheng Lai B. Stenger Ming-Hsuan Yang Hongdong Li 144 243 0 26 Jan 2022
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art Yi Wang S. M. A. Bashir Mahrukh Khan Qudrat Ullah Rui Wang Yilin Song Zhe Guo Yilong Niu 94 147 0 05 Nov 2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Peng Sun Christos Sakaridis Luc Van Gool Radu Timofte 72 579 0 25 Mar 2021
Scene Text Image Super-Resolution in the Wild Wenjia Wang Enze Xie Xuebo Liu Wenhai Wang Ding Liang Chunhua Shen X. Bai 23 127 0 07 May 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 125 826 0 31 Dec 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 85 4,996 0 20 Nov 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 114 2,845 0 17 Jun 2019
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 95 3,706 0 01 Sep 2018
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 229 10,646 0 15 Sep 2016

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