MAWKDN: A Multimodal Fusion Wavelet Knowledge Distillation Approach Based on Cross-View Attention for Action Recognition-Reference-Cited by-同舟云学术

MAWKDN: A Multimodal Fusion Wavelet Knowledge Distillation Approach Based on Cross-View Attention for Action Recognition

Author:

Quan Zhenzhen¹^ORCID,Chen Qingshan¹^ORCID,Zhang Moyan¹^ORCID,Hu Weifeng¹,Zhao Qiang¹^ORCID,Hou Jiangang²,Li Yujun¹^ORCID,Liu Zhi¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong University, Qingdao, China

2. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

Funder

Joint Fund for Smart Computing of Shandong Natural Science Foundation

Open Project of State Key Laboratory of Computer Architecture

Qingdao Municipal Science and Technology Benefit People Demonstration and Guidance Special Project

Major Scientific and Technological Innovation Project in Shandong Province

“New Universities 20 items” Funding Project of Jinan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference83 articles.

2. Training data-efficient image transformers & distillation through attention;touvron;Proc Int Conf Mach Learn,2021

3. Imaging time-series to improve classification and imputation;wang;Proc 24th Int Joint Conf Artif Intell,2015

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