Multiclass Cricket Shot Classification using CNN-Reference-Cited by-同舟云学术

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Multiclass Cricket Shot Classification using CNN

Published:2023-12-13 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
language:
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Author:

Ahmed Mirza Sabbir¹,Hasan Md Nahid²,Zinnah Ayon Walid Ibn³

Affiliation:

1. North South University,Department of Electrical & Computer Engineering,Dhaka,Bangladesh

2. Deggendorf Institute of Technology,Departmentof Building Products and Processes,Deggendorf,Germany

3. Chittagong University of Engineering & Technology,Department of Computer Science & Engineering,Chattogram,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441507.pdf?arnumber=10441507

Reference13 articles.

1. Deep CNN Based Data-Driven Recognition of Cricket Batting Shots

2. A hybrid approach for summarization of cricket videos

3. Shot-Net: A Convolutional Neural Network for Classifying Different Cricket Shots

4. Modeling mutual context of object and human pose in human-object interaction activities

5. Deep learning using cnns for ball-by-ball outcome classification in sports;Dixit;Report on the Course: Convolutional Neural Networks for Visual Recognition,2016

Cited by 1 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. Shot-ViT: Cricket Batting Shots Classification with Vision Transformer Network;International Journal of Engineering;2024

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