Badminton action recognition based on improved I3D convolutional neural network-Reference-Cited by-同舟云学术

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Badminton action recognition based on improved I3D convolutional neural network

Published:2023-07-21 Issue: Volume: Page:
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Container-title:3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023)
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Author:

Zheng Huangnan,Shen Huichang,Zhang Yisong,Wang Haotian

Publisher

SPIE

Reference22 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks;Ren;In Advances in Neural Information Processing Systems,2016

2. You Only Look Once: Unified, Real-Time Object Detection;Redmon,2016

3. SSD: Single Shot MultiBox Detector;Liu,2016

4. Real-time Human Pose Estimation using OpenPose on a Mobile Device;Smith,2020

5. An Efficient Method for Pose Estimation using Deep Learning and OpenPose;Lee;Computer Vision and Image Understanding,2019

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1. A Chaotic Butterfly Optimization Driven Deep Learning Approach for Tomato Leaf Disease Detection and Classification;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

2. Deep Learning-based Temporal Action Localization Method;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

3. Automatic Shuttlecock Motion Recognition Using Deep Learning;IEEE Access;2023

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