Action Behavior Learning Based on a New Multi-Scale Interactive Perception Network-Reference-Cited by-同舟云学术

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Action Behavior Learning Based on a New Multi-Scale Interactive Perception Network

Published:2023 Issue: Volume:11 Page:144860-144876
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zheng Chunlin¹,Gu Jun²,Xu Sheng³^ORCID

Affiliation:

1. Teacher’s Training Center of Jiangsu Province, Jiangsu Second Normal University, Nanjing, China

2. Wuxi Education Informatization and Equipment Management Service Center, Wuxi, China

3. Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China

Funder

Major National Social Science Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10352162.pdf?arnumber=10352162

Reference30 articles.

1. Compound Memory Networks for Few-Shot Video Classification

2. TARN: Temporal attentive relation network for few-shot and zero-shot action recognition;Bishay;arXiv:1907.09021,2019

3. Few-Shot Video Classification via Temporal Alignment

4. Temporal-Relational CrossTransformers for Few-Shot Action Recognition

5. Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition

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