DEEP LEARNING METHODS FOR IMAGE OBJECT DETECTION AND RECOGNITION

Language: English

Published by World Scientific Publishing Co Pte Ltd, SG, 2026

9819833345 / 9789819833344

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This book provides a comprehensive introduction on applying deep learning to the visual recognition of objects, bridging the gap between theoretical algorithms and high-impact practical implementations. Within these pages, readers will find a detailed exploration of advanced techniques for image restoration-including UNet-based defogging, feature fusion GANs, and ESRGAN super-resolution-alongside high-performance detection models. Specialized applications such as underwater crack segmentation using transfer learning, marine biological detection, and real-time analysis through YOLOv4, RetinaNet, and LSTM-integrated networks are also covered to provide researchers and engineers with a technical blueprint for solving diverse real-world computer vision challenges. Additionally, this work is also suitable as a textbook for advanced undergraduate and graduate students majoring in Artificial Intelligence, Intelligent Science and Technology, Computer Science, and Automation.

Seller Inventory # LU-9789819833344

Title
DEEP LEARNING METHODS FOR IMAGE OBJECT DETECTION AND RECOGNITION
Author
Pengfei Shi, Gang Wan, Xinnan Fan, Qingying Wang, Yuanxue Xin
Publisher
World Scientific Publishing Co Pte Ltd, SG
Publication year
2026
Condition
New
Binding
Hardback
Language
English
ISBN 10
9819833345
ISBN 13
9789819833344

Rarewaves.com USA

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