Deep Learning Methods Image by Shi Pengfei (8 results)

Deep Learning Methods For Image Object Detection And Recognition
Shi, Pengfei; Fan, Xinnan; Xin, Yuanxue; Wan, Gang; Wang, Qingying
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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DEEP LEARNING METHODS FOR IMAGE OBJECT DETECTION AND RECOGNITION
Pengfei Shi, Gang Wan, Xinnan Fan, Qingying Wang, Yuanxue Xin
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 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 restora…tion-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.

- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 258 pages. 6.24x0.80x9.24 inches. In Stock.

DEEP LEARNING METHODS FOR IMAGE OBJECT DETECTION AND RECOGNITION
Pengfei Shi, Gang Wan, Xinnan Fan, Qingying Wang, Yuanxue Xin
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 101.35
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 9 available
Hardback. Condition: New. 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 restora…tion-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.

Language: English
Published by World Scientific Publishing Co Pte Ltd, Singapore, 2026
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condition: new. Hardcover. 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 i…mage restorationincluding UNet-based defogging, feature fusion GANs, and ESRGAN super-resolutionalongside 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Language: English
Published by World Scientific Publishing Co Pte Ltd, Singapore, 2026
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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£ 104.49
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Hardcover. Condition: new. Hardcover. 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 i…mage restorationincluding UNet-based defogging, feature fusion GANs, and ESRGAN super-resolutionalongside 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Language: English
Published by World Scientific Publishing Co Pte Ltd, Singapore, 2026
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 142.30
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Hardcover. Condition: new. Hardcover. 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 i…mage restorationincluding UNet-based defogging, feature fusion GANs, and ESRGAN super-resolutionalongside 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

- Hardcover
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Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. DEEP LEARNING METHODS IMAGE OBJECT DETECTION & RECOGNITION | Shi Pengfei | Buch | Englisch | 2026 | World Scientific | EAN 9789819833344 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.