"Perceptual Image Hashing with Bidirectional Generative Adversarial Networks for Copy Detection"

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Book	Author(s)	Year	Publisher
Generative Adversarial Networks for Image Generation	Xudong Mao; Qing Li	1st ed. 2021	Springer Nature Singapore
Generative Adversarial Networks for Image-to-Image Translation	Anand Nayyar; Arun Solanki and Mohd Naved	2021	Academic Press
Generative Adversarial Networks with Python	Jason Brownlee	2020
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
Hands-On Generative Adversarial Networks with PyTorch 1. x	John Hany, Greg Walters	2019	Packt Publishing
Generative Adversarial Networks Projects: Build Next-Generation Generative Models Using TensorFlow and Keras.	Ahirwar, Kailash	2019	Packt Publishing Ltd
Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras	Josh Kalin	2018	Packt Publishing
Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade; Juergen Schmidhuber	1st ed. 2022	Springer International Publishing
Image Copy-Move Forgery Detection: New Tools and Techniques	Badal Soni; Pradip K. Das	1st ed. 2022	Springer Nature Singapore
Perceptual Metrics for Image Database Navigation	Yossi Rubner; Carlo Tomasi	2001	Springer US
Perceptual image coding with discrete cosine transform	Ee-Leng Tan; Woon-Seng Gan	2015	Springer
Perceptual Image Coding with Discrete Cosine Transform	Ee-Leng Tan; Woon-Seng Gan	2015	Springer Nature Singapore
Image-Processing Techniques for Tumor Detection	Robin N. Strickland	2002	Routledge
Adversary Detection For Cognitive Radio Networks	Xiaofan He; Huaiyu Dai	1st ed. 2018	Springer International Publishing
Teacher's test manual: perceptual copy forms and incomplete copy forms	Winter Haven Lions Research Foundation	1969	Winter Haven Lions Research Foundation
Image Technology Design: A Perceptual Approach	Jean-Bernard Martens	2003	Springer US
Hierarchical Neural Networks for Image Interpretation	Sven Behnke	2003	Springer Berlin Heidelberg
Artificial neural networks for image understanding /	Kulkarni, Arun D.,	[1994], ©1994.	Van Nostrand Reinhold,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Perceptual Image Hashing with Bidirectional Generative Adversarial Networks for Copy Detection	Bin Ma; Yili Wang; Chunpeng Wang; Jian Li; Bing Han; Xinan Cui	Advances in Artificial Intelligence and Security: 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, Qinghai, China, July 15–20, 2022, Proceedings, Part III	Xingming Sun; Xiaorui Zhang; Zhihua Xia; Elisa Bertino	1st ed. 2022	Springer International Publishing
Image Anomaly Detection with Generative Adversarial Networks	Lucas Deecke; Robert Vandermeulen; Lukas Ruff; Stephan Mandt; Marius Kloft	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I	Michele Berlingerio; Francesco Bonchi; Thomas Gärtner; Neil Hurley; Georgiana Ifrim	1st ed. 2019	Springer International Publishing
Bidirectional Conditional Generative Adversarial Networks	Ayush Jaiswal; Wael AbdAlmageed; Yue Wu; Premkumar Natarajan	Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III	C. V. Jawahar; Hongdong Li; Greg Mori; Konrad Schindler	1st ed. 2019	Springer International Publishing
38 Bidirectional Generative Adversarial Networks (BiGAN)		Image recognition: progress, trends and challenges	(College teacher) S. Ramakrishnan (editor); Charles Z. Liu (editor)	2020	Nova Science Publishers
38 Bidirectional Generative Adversarial Networks (Bigan)		Image Recognition: Progress, Trends and Challenges	Charles Z. Liu (editor), S. Ramakrishnan (editor)	2020	Nova Science Pub Inc
Semi-supervised Generative Adversarial Hashing for Image Retrieval	Guan’an Wang; Qinghao Hu; Jian Cheng; Zengguang Hou	Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV	Vittorio Ferrari; Martial Hebert; Cristian Sminchisescu; Yair Weiss	1st ed. 2018	Springer International Publishing
Image Synthesis with Generative Adversarial Networks (GAN)	R. Parvathi; V. Pattabiraman	Computer Vision and Recognition Systems: Research Innovations and Trends	Chiranji Lal Chowdhary; G. Thippa Reddy; B. D. Parameshachari	2022	Routledge
Distributed Generative Adversarial Networks for Anomaly Detection	Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz	Decision and Game Theory for Security: 11th International Conference, GameSec 2020, College Park, MD, USA, October 28–30, 2020, Proceedings	Quanyan Zhu; John S. Baras; Radha Poovendran; Juntao Chen	1st ed. 2020	Springer International Publishing
Generative Adversarial-Synergetic Networks for Anomaly Detection	Hongjun Li; Chaobo Li; Ze Zhou	Pattern Recognition and Artificial Intelligence: International Conference, ICPRAI 2020, Zhongshan, China, October 19–23, 2020, Proceedings	Yue Lu; Nicole Vincent; Pong Chi Yuen; Wei-Shi Zheng; Farida Cheriet; Ching Y. Suen	1st ed. 2020	Springer International Publishing
Generative adversarial networks for medical image synthesis	Yang Lei; Richard L.J. Qiu; Tonghe Wang; Walter J. Curran; Tian Liu; Xiaofeng Yang	Biomedical Image Synthesis and Simulation	David Svoboda andNinon Burgos	2022	Academic Press
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization	Shirsendu Sukanta Halder; Kanjar De; Partha Pratim Roy	Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part II	C. V. Jawahar; Hongdong Li; Greg Mori; Konrad Schindler	1st ed. 2019	Springer International Publishing
Generative Adversarial Networks	Momiao Xiong	Artificial Intelligence and Causal Inference	Momiao Xiong	2022	Routledge
Generative Adversarial Networks	Xiangming Zeng; Liangqu Long	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Generative Adversarial Networks	Jakub M. Tomczak	Deep Generative Modeling	Jakub M. Tomczak	1st ed. 2022	Springer International Publishing
Generative adversarial networks		Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models	Joseph Babcock, Raghav Bali	2021	Packt Publishing
Generative Adversarial Networks		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Generative Adversarial Networks		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Generative Adversarial Networks		Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Generative adversarial networks		Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras	Santanu Pattanayak	2019	Packt Publishing
Generative Adversarial Networks		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
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