Incremental transfer learning for video annotation via grouped heterogeneous sources-Reference-Cited by-同舟云学术

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Incremental transfer learning for video annotation via grouped heterogeneous sources

Published:2020-01-20 Issue:1 Volume:14 Page:26-35
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Wang Han¹,Song Hao²,Wu Xinxiao²,Jia Yunde²

Affiliation:

1. Institute of Visual Media, School of Information and TechnologyBeijing Forestry UniversityPeople's Republic of China

2. Beijing Lab of Intelligent Information Technology and the School of Computer ScienceBeijing Institute of TechnologyPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5730

Reference41 articles.

1. You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images

2. Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images

3. Selecting Relevant Web Trained Concepts for Automated Event Retrieval

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