Spatiotemporal Saliency Representation Learning for Video Action Recognition-Reference-Cited by-同舟云学术

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Spatiotemporal Saliency Representation Learning for Video Action Recognition

Published:2021 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Kong Yongqiang,Wang Yunhong,Li Annan

Funder

CCF-Tencent Rhino-Bird Research Fund

Key Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09381645.pdf?arnumber=9381645

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CANet: Comprehensive Attention Network for video-based action recognition;Knowledge-Based Systems;2024-07

2. Kalman Filter Aided Depth-based Motion Saliency Detection in Human Activity Recognition Applications;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. Cross-level Diffusion-based Affinity Learning for Unsupervised Salient Object Detection;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. An End-to-End Vision-Based Seizure Detection With a Guided Spatial Attention Module for Patient Detection;IEEE Internet of Things Journal;2024-05-15

5. Recent Advances in Nanosensors for Motion Detection;ACS Applied Electronic Materials;2024-02-15

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