Deep Learning for Video Understanding - Zuxuan Wu |
|
 Книги
|
Рейтинг публикации: 0 (голосов: 0) |
|
|
https://i123.fastpic.org/big/2024/0813/79/1fb389accc9d78d4fd9f557b4098dd79.jpg
pdf | 24.02 MB | English | Isbn: 9783031576799 | Author: Zuxuan Wu, Yu-Gang Jiang | Year: 2024
About ebook : Deep Learning for Video Understanding
This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For action recognition, the authors introduce classical frameworks for image classification, and then elaborate both image-based and clip-based 2D/3D CNN networks for action recognition. For action detection, the authors elaborate sliding windows, proposal-based detection methods, single stage and two stage approaches, spatial and temporal action localization, followed by datasets introduction. For video captioning, the authors present language-based models and how to perform sequence to sequence learning for video captioning. For unsupervised feature learning, the authors discuss the necessity of shifting from supervised learning to unsupervised learning and then introduce how to design better surrogate training tasks to learn video representations. Finally, the book introduces recent self-training pipelines like contrastive learning and masked image/video modeling with transformers. The book provides promising directions, with an aim to promote future research outcomes in the field of video understanding with deep learning.
https://filestore.me/f7mr0exxo32e
- Добавлено: 13/08/2024
- Автор: 0dayhome
- Просмотрено: 1
Общий размер публикации: 24,02 МБ
- Learning Cities, Learning Regions, Learning Communities Lifelong Learning and Local Government
- Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural NetWorks, Deep Learning, Reinforcement Learning, and Our Future - Simon Winston
- Hands-On Machine Learning with C++ Build, train and deploy end-to-end machine learning and deep learning pipelines 2nd Edition
- Machine Learning for Imbalanced Data Tackle imbalanced datasets using machine learning and deep learning techniques
- Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models - Abdelaziz Testas
|
