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DEEP LEARNING METHODS FOR IMAGE OBJECT DETECTION AND RECOGNITION

By (author) Pengfei Shi, By (author) Xinnan Fan, By (author) Yuanxue Xin, By (author) Gang Wan, By (author) Qingying Wang

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normal price: R 3 907.95

Price: R 3 712.95


| book description |

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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | World Scientific Publishing Co Pte Ltd
Published date | 27 Jul 2026
Language |
Format | Hardback
Pages | 258
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8198-3334-4
Readership Age |
BISAC |


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