"A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning"

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Book	Author(s)	Year	Publisher
Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade; Juergen Schmidhuber	1st ed. 2022	Springer International Publishing
Generative Adversarial Networks Projects	Kailash Ahirwar	2018-10-31	Packt Publishing
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
Generative Adversarial Networks with Python	Jason Brownlee	2020
Generative Adversarial Networks for Image Generation	Xudong Mao; Qing Li	1st ed. 2021	Springer Nature Singapore
Analyzing Discourse and Text Complexity for Learning and Collaborating: A Cognitive Approach Based on Natural Language Processing	Mihai Dascălu	2014	Springer International Publishing
Hands-On Generative Adversarial Networks with PyTorch 1. x	John Hany, Greg Walters	2019	Packt Publishing
Adversarial Machine Learning	Anthony D. Joseph; Blaine Nelson; Benjamin I. P. Rubinstein; J. D. Tygar	2019-02	Cambridge University Press
Adversarial Machine Learning	Yevgeniy Vorobeychik; Murat Kantarcioglu		Springer International Publishing
3D Dynamic Scene Analysis: A Stereo Based Approach	Zhengyou Zhang; Olivier Faugeras	1992	Springer Berlin Heidelberg
Generative Adversarial Networks for Image-to-Image Translation	Anand Nayyar; Arun Solanki and Mohd Naved	2021	Academic Press
Neuroanesthesia: A Problem-Based Learning Approach	David E. Traul; Irene P. Osborn; Magdalena Anitescu	2018	Oxford University Press
Anesthesiology: A Problem-Based Learning Approach	Tracey Straker; Shobana Rajan; Magdalena Anitescu	2018	Oxford University Press
Generative Adversarial Networks Projects: Build Next-Generation Generative Models Using TensorFlow and Keras.	Ahirwar, Kailash	2019	Packt Publishing Ltd
Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach	Y-h. Taguchi	1st ed. 2020	Springer International Publishing
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Motor learning and performance: a situation-based learning approach	Richard A. Schmidt	2008	Human Kinetics
Pain Management: A Problem-Based Learning Approach		2018	Oxford University Press
Pediatric Anesthesia: A Problem-Based Learning Approach	Kirk Lalwani; Ira Todd Cohen; Ellen Y. Choi; Vidya T. Raman	2018	Oxford University Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning	Huali Xu; Xiangdong Su; Tongyang Liu; Pengcheng Guo; Guanglai Gao; Feilong Bao	Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I	Tom Gedeon; Kok Wai Wong; Minho Lee	1st ed. 2019	Springer International Publishing
Generative Adversarial Learning		Enterprise Artificial Intelligence Transformation	Rashed Haq	2020	Wiley
Unsupervised Representation Learning Based on Generative Adversarial Networks	Shi Xu; Jia Wang	Digital TV and Wireless Multimedia Communication: 16th International Forum, IFTC 2019, Shanghai, China, September 19–20, 2019, Revised Selected Papers	Guangtao Zhai; Jun Zhou; Hua Yang; Ping An; Xiaokang Yang	1st ed. 2020	Springer Nature Singapore
Perceptual Image Dehazing Based on Generative Adversarial Learning	Fangfang Wu; Yifan Li; Jianwen Han; Weisheng Dong; Guangming Shi	Advances in Multimedia Information Processing – PCM 2018: 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I	Richang Hong; Wen-Huang Cheng; Toshihiko Yamasaki; Meng Wang; Chong-Wah Ngo	1st ed. 2018	Springer International Publishing
Image Scene Conversion Algorithm Based on Generative Adversarial Networks	Honggang Xie; Jinsheng Xiao; Junfeng Lei; Wenjuan Xie; Reinhard Klette	Pattern Recognition: ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings	Michael Cree; Fay Huang; Junsong Yuan; Wei Qi Yan	1st ed. 2020	Springer Nature Singapore
Generative adversarial imitation learning		HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Generative Adversarial Imitation Learning		Algorithms for Decision Making	Mykel J. Kochenderfer; Tim A. Wheeler; Kyle H. Wray	2020
Federated Generative Adversarial Learning	Chenyou Fan; Ping Liu	Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III	Yuxin Peng; Qingshan Liu; Huchuan Lu; Zhenan Sun; Chenglin Liu; Xilin Chen; Hongbin Zha; Jian Yang	1st ed. 2020	Springer International Publishing
GAN-TStega: Text Steganography Based on Generative Adversarial Networks	Zhongliang Yang; Nan Wei; Qinghe Liu; Yongfeng Huang; Yujin Zhang	Digital Forensics and Watermarking: 18th International Workshop, IWDW 2019, Chengdu, China, November 2–4, 2019, Revised Selected Papers	Hongxia Wang; Xianfeng Zhao; Yunqing Shi; Hyoung Joong Kim; Alessandro Piva	1st ed. 2020	Springer International Publishing
SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks	Zihan Wang; Neng Gao; Xin Wang; Xuexin Qu; Linghui Li	Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part II	Long Cheng; Andrew Chi Sing Leung; Seiichi Ozawa	1st ed. 2018	Springer International Publishing
Text Generation Based on Generative Adversarial Nets with Latent Variables	Heng Wang; Zengchang Qin; Tao Wan	Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II	Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi	1st ed. 2018	Springer International Publishing
Generative adversarial		Image recognition: progress, trends and challenges	(College teacher) S. Ramakrishnan (editor); Charles Z. Liu (editor)	2020	Nova Science Publishers
Generative Adversarial		Image Recognition: Progress, Trends and Challenges	Charles Z. Liu (editor), S. Ramakrishnan (editor)	2020	Nova Science Pub Inc
Generative Adversarial Network Based Status Generation Simulation Approach	Zhiru Chen; Zhi Zhang; Xi Zhao; Liang Guo	Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17–20, 2021, Proceedings, Part I	Jianchao Zeng; Pinle Qin; Weipeng Jing; Xianhua Song; Zeguang Lu	1st ed. 2021	Springer Nature Singapore
Data Augment in Imbalanced Learning Based on Generative Adversarial Networks	Zhuocheng Zhou; Bofeng Zhang; Ying Lv; Tian Shi; Furong Chang	Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV	Tom Gedeon; Kok Wai Wong; Minho Lee	1st ed. 2019	Springer International Publishing
Food Pairing Based on Generative Adversarial Networks	Yan Bai; Chuitian Rong; Xiangling Zhang	Big Data: 8th CCF Conference, BigData 2020, Chongqing, China, October 22–24, 2020, Revised Selected Papers	Hong Mei; Weiguo Zhang; Wenfei Fan; Zili Zhang; Yihua Huang; Jiajun Bu; Yang Gao; Li Wang	1st ed. 2021	Springer Nature Singapore
Scene Text Recognition Based on Deep Learning	Yunxue Shao; Yuxin Chen	Communications, Signal Processing, and Systems: Proceedings of the 8th International Conference on Communications, Signal Processing, and Systems	Qilian Liang; Wei Wang; Xin Liu; Zhenyu Na; Min Jia; Baoju Zhang	1st ed. 2020	Springer Nature Singapore
A Novel Approach to Abnormal Gait Recognition Based on Generative Adversarial Networks	Zixuan Song; Shuoyu Wang; Junyou Yang; Dianchun Bai	Robotics and Rehabilitation Intelligence: First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part I	Jianhua Qian; Honghai Liu; Jiangtao Cao; Dalin Zhou	1st ed. 2020	Springer Nature Singapore
A Review on Generative Adversarial Networks	Shyamapada Mukherjee; Ayush Agarwala; Rishab Agarwala	Machine Learning and Internet of Things for Societal Issues	Ch. Satyanarayana; Xiao-Zhi Gao; Choo-Yee Ting; Naresh Babu Muppalaneni	1st ed. 2022	Springer Nature Singapore
Deep learning: Generative adversarial networks and adversarial methods	Jelmer M. Wolterink; Konstantinos Kamnitsas; Christian Ledig; Ivana Išgum	Handbook of Medical Image Computing and Computer Assisted Intervention	Daniel Rueckert; Gabor Fichtinger andS. Kevin Zhou	2020	Academic Press
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Showing 1 to 20 of 100 entries

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