Dynamic Gesture Recognition Based on Two-Scale 3-D-ConvNeXt

Author:

Hao Sida1ORCID,Fu Min1,Liu Xuefeng2,Zheng Bing1

Affiliation:

1. Sanya Oceanographic Institution, Ocean University of China, Sanya, China

2. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China

Funder

Shandong Provincial Natural Science Foundation

Key Research and Development Projects in Hainan Province

National Natural Science Foundation of China

Hainan Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference50 articles.

1. UCF101: A dataset of 101 human actions classes from videos in the wild;soomro;arXiv 1212 0402,2012

2. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

3. Mixup: Beyond empirical risk minimization;zhang;arXiv 1710 09412,2017

4. Learning Deep Features for Discriminative Localization

5. ConvNet architecture search for spatiotemporal feature learning;tran;arXiv 1708 05038,2017

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