Large Vision-Language Models by Kaiyang Zhou (.PDF)
File Size: 60.6 MB
Large Vision-Language Models: Pre-training, Prompting, and Applications (Advances in Computer Vision and Pattern Recognition) by Kaiyang Zhou, Ziwei Liu, Peng Gao
Requirements: .PDF reader, 60.6 MB
Overview: 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 (NLP). 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.
Genre: Non-Fiction > Tech & Devices
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