Articles liés à Advances in Vision Foundation Models, Recognition,...
Synopsis
Computer vision has undergone a profound transformation over the past decade, initially driven by deep convolutional neural networks and more recently by the emergence of large-scale Vision Foundation Models (VFMs). Inspired by the success of foundation models in natural language processing, approaches such as Vision Transformers (ViTs), multimodal models, and self-supervised architectures have redefined how visual understanding systems are designed, trained, and deployed. Pre-trained on massive datasets and adaptable to a wide range of downstream tasks, these models are reshaping both research and industry. From image classification and object detection to multimodal reasoning, medical imaging, autonomous systems, and intelligent surveillance, foundation-based vision systems are enabling scalable, transferable, and data-efficient solutions. Advances in Vision Foundation Models, Recognition, and Practical Systems presents a comprehensive and up-to-date exploration of developments in vision foundation models, recognition techniques, and real-world system deployment. By bridging theoretical foundations, architectural innovations, training paradigms, and practical applications, this book balances cutting-edge research insights with implementation-oriented guidance, making it both academically rigorous and highly relevant to industry. Covering topics such as adversarial robustness, scalable object recognition, and vision foundation models, this book is an excellent academic resource for graduate and doctoral students, AI engineers, computer vision practitioners, data scientists, software developers, system architects, and more.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Advances in Vision Foundation Models, Recognition,...
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798260001370
Acheter neuf
EUR 195,40
Expédition à EUR 6
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798260001370
Acheter neuf
EUR 203,13
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Computer vision has undergone a profound transformation over the past decade, initially driven by deep convolutional neural networks and more recently by the emergence of large-scale Vision Foundation Models (VFMs). Inspired by the success of foundation models in natural language processing, approaches such as Vision Transformers (ViTs), multimodal models, and self-supervised architectures have redefined how visual understanding systems are designed, trained, and deployed. Pre-trained on massive datasets and adaptable to a wide range of downstream tasks, these models are reshaping both research and industry. From image classification and object detection to multimodal reasoning, medical imaging, autonomous systems, and intelligent surveillance, foundation-based vision systems are enabling scalable, transferable, and data-efficient solutions. Advances in Vision Foundation Models, Recognition, and Practical Systems presents a comprehensive and up-to-date exploration of developments in vision foundation models, recognition techniques, and real-world system deployment. By bridging theoretical foundations, architectural innovations, training paradigms, and practical applications, this book balances cutting-edge research insights with implementation-oriented guidance, making it both academically rigorous and highly relevant to industry. Covering topics such as adversarial robustness, scalable object recognition, and vision foundation models, this book is an excellent academic resource for graduate and doctoral students, AI engineers, computer vision practitioners, data scientists, software developers, system architects, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798260001370
Acheter neuf
EUR 234,05
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9798260001370
Acheter neuf
EUR 233,32
Expédition à EUR 2,69
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Computer vision has undergone a profound transformation over the past decade, initially driven by deep convolutional neural networks and more recently by the emergence of large-scale Vision Foundation Models (VFMs). Inspired by the success of foundation models in natural language processing, approaches such as Vision Transformers (ViTs), multimodal models, and self-supervised architectures have redefined how visual understanding systems are designed, trained, and deployed. Pre-trained on massive datasets and adaptable to a wide range of downstream tasks, these models are reshaping both research and industry. From image classification and object detection to multimodal reasoning, medical imaging, autonomous systems, and intelligent surveillance, foundation-based vision systems are enabling scalable, transferable, and data-efficient solutions. Advances in Vision Foundation Models, Recognition, and Practical Systems presents a comprehensive and up-to-date exploration of developments in vision foundation models, recognition techniques, and real-world system deployment. By bridging theoretical foundations, architectural innovations, training paradigms, and practical applications, this book balances cutting-edge research insights with implementation-oriented guidance, making it both academically rigorous and highly relevant to industry. Covering topics such as adversarial robustness, scalable object recognition, and vision foundation models, this book is an excellent academic resource for graduate and doctoral students, AI engineers, computer vision practitioners, data scientists, software developers, system architects, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798260001370
Acheter neuf
EUR 205,57
Expédition à EUR 44,22
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems (Paperback)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Computer vision has undergone a profound transformation over the past decade, initially driven by deep convolutional neural networks and more recently by the emergence of large-scale Vision Foundation Models (VFMs). Inspired by the success of foundation models in natural language processing, approaches such as Vision Transformers (ViTs), multimodal models, and self-supervised architectures have redefined how visual understanding systems are designed, trained, and deployed. Pre-trained on massive datasets and adaptable to a wide range of downstream tasks, these models are reshaping both research and industry. From image classification and object detection to multimodal reasoning, medical imaging, autonomous systems, and intelligent surveillance, foundation-based vision systems are enabling scalable, transferable, and data-efficient solutions. Advances in Vision Foundation Models, Recognition, and Practical Systems presents a comprehensive and up-to-date exploration of developments in vision foundation models, recognition techniques, and real-world system deployment. By bridging theoretical foundations, architectural innovations, training paradigms, and practical applications, this book balances cutting-edge research insights with implementation-oriented guidance, making it both academically rigorous and highly relevant to industry. Covering topics such as adversarial robustness, scalable object recognition, and vision foundation models, this book is an excellent academic resource for graduate and doctoral students, AI engineers, computer vision practitioners, data scientists, software developers, system architects, and more. 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. N° de réf. du vendeur 9798260001370
Acheter neuf
EUR 262,10
Expédition à EUR 33,13
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Advances in Vision Foundation Models, Recognition, and Practical Systems
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision has undergone a profound transformation over the past decade, initially driven by deep convolutional neural networks and more recently by the emergence of large-scale Vision Foundation Models (VFMs). Inspired by the success of foundation models in natural language processing, approaches such as Vision Transformers (ViTs), multimodal models, and self-supervised architectures have redefined how visual understanding systems are designed, trained, and deployed. Pre-trained on massive datasets and adaptable to a wide range of downstream tasks, these models are reshaping both research and industry. From image classification and object detection to multimodal reasoning, medical imaging, autonomous systems, and intelligent surveillance, foundation-based vision systems are enabling scalable, transferable, and data-efficient solutions. Advances in Vision Foundation Models, Recognition, and Practical Systems presents a comprehensive and up-to-date exploration of developments in vision foundation models, recognition techniques, and real-world system deployment. By bridging theoretical foundations, architectural innovations, training paradigms, and practical applications, this book balances cutting-edge research insights with implementation-oriented guidance, making it both academically rigorous and highly relevant to industry. Covering topics such as adversarial robustness, scalable object recognition, and vision foundation models, this book is an excellent academic resource for graduate and doctoral students, AI engineers, computer vision practitioners, data scientists, software developers, system architects, and more. N° de réf. du vendeur 9798260001370
Acheter neuf
EUR 277,73
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)