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Deep Learning Methods Image Object Detection & Recognition
Hardcover
ISBN13: 9789819833344
Publisher: World Scientific Publishing Company
Published: Jul 2 2026
Pages: 258
Weight: 1.40
Height: 0.81 Width: 6.00 Depth: 9.00
Language: English
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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