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portada Deep Learning Methods For Image Object Detection And Recognition
Type
Physical Book
Publisher
Author
Language
English
Pages
260
Format
Hardcover
ISBN13
9789819833344

Deep Learning Methods For Image Object Detection And Recognition

Shi, Pengfei;;;Fan, Xinnan;Xin, Yuanxue;Wan, Gang;Wang, Qingying (Author) · WSPC · Hardcover

Deep Learning Methods For Image Object Detection And Recognition - Shi, Pengfei;;;Fan, Xinnan;Xin, Yuanxue;Wan, Gang;Wang, Qingying

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Synopsis "Deep Learning Methods For Image Object Detection And Recognition"

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.

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