000			01971cam a2200289zu 4500
001			88930409
003			FRCYB88930409
005			20250107235511.0
006			m o d
007			cr un
008			250108s2021 fr | o|||||0|0|||eng d
020			_a9780128221099
035			_aFRCYB88930409
040			_aFR-PaCSA _ben _c _erda
100	1		_aDavies, E. R.
245	0	1	_aAdvanced Methods and Deep Learning in Computer Vision _c['Davies, E. R.', 'Turk, Matthew']
264		1	_bElsevier Science _c2021
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aDavies, E. R.
700	0		_aTurk, Matthew
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88930409 _qtext/html _a
520			_aAdvanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field Illustrates principles with modern, real-world applications Suitable for self-learning or as a text for graduate courses
999			_c75062 _d75062