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portada Deep Learning Methods For Image Object Detection And Recognition
Type
Physical Book
Publisher
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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