Bookshelf
| can't find it |

| browse books |
books
 

| book details |

Large Vision-Language Models: Pre-training, Prompting, and Applications

Edited by Kaiyang Zhou, Edited by Ziwei Liu, Edited by Peng Gao

| on special |

normal price: R 8 268.95

Price: R 7 855.95


| book description |

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing. These powerful models, trained on vast amounts of multimodal data mixed with images and text, have demonstrated remarkable capabilities in tasks ranging from image classification and object detection to visual content generation and question answering. This book provides a comprehensive and up-to-date exploration of large vision-language models, covering the key aspects of their pre-training, prompting techniques, and diverse real-world computer vision applications. It is an essential resource for researchers, practitioners, and students in the fields of computer vision, natural language processing, and artificial intelligence. Large Vision-Language Models begins by exploring the fundamentals of large vision-language models, covering architectural designs, training techniques, and dataset construction methods. It then examines prompting strategies and other adaptation methods, demonstrating how these models can be effectively fine-tuned to address a wide range of downstream tasks. The final section focuses on the application of vision-language models across various domains, including open-vocabulary object detection, 3D point cloud processing, and text-driven visual content generation and manipulation. Beyond the technical foundations, the book explores the wide-ranging applications of vision-language models (VLMs), from enhancing image recognition systems to enabling sophisticated visual content generation and facilitating more natural human-machine interactions. It also addresses key challenges in the field, such as feature alignment, scalability, data requirements, and evaluation metrics. By providing a comprehensive roadmap for both newcomers and experts, this book serves as a valuable resource for understanding the current landscape, limitations, and future directions of VLMs, ultimately contributing to the advancement of artificial intelligence.  

| product details |



Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Publisher | Springer International Publishing AG
Published date | 31 Aug 2025
Language |
Format | Hardback
Pages | 429
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0319-4968-5
Readership Age |
BISAC | computers / computer vision


| other options |


| your trolley |

To view the items in your trolley please sign in.

| sign in |

| specials |

The Coming Wave: AI, Power and Our Future

Mustafa Suleyman
Paperback / softback
352 pages
was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order


The Colonialist: The Vision of Cecil Rhodes

William Kelleher Storey
Paperback / softback
528 pages
was: R 425.95
now: R 382.95
Usually dispatched in 6-12 days

This first comprehensive biography of Cecil Rhodes in a generation illuminates Rhodes’s vision for the expansion of imperialism in southern Africa, connecting politics and industry to internal development, and examines how this fueled a lasting, white-dominated colonial society.

Survive the AI Apocalypse: A guide for solutionists

Bronwyn Williams
Paperback / softback
232 pages
was: R 340.95
now: R 306.95
Stock is usually dispatched in 6-12 days from date of order

Look around you is anything real or normal any more? News, images and videos created by AI are everywhere.

The Memory Collectors: A Novel

Dete Meserve
Paperback / softback
320 pages


Enquiries only