A-DQRBRL: attention based deep Q reinforcement battle royale learning model for sports video classification-Reference-Cited by-同舟云学术

A-DQRBRL: attention based deep Q reinforcement battle royale learning model for sports video classification

Published:2023-02-27 Issue:3 Volume:71 Page:257-276
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Srilakshmi G.¹,Praveen Joe I. R.²

Affiliation:

1. Department of CSE, KCG College of Technology, Anna University, Chennai, India

2. SCOPE, Vellore Institute of Technology, Chennai, India

Funder

No funders

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2180022

Reference45 articles.

1. Martin PE, Benois-Pineau J, Mansencal B, et al. Sports video classification: classification of strokes in table tennis for MediaEval 2020. In MediaEval 2020 Workshop. 2021, January.

2. Spatio-Temporal Attention Networks for Action Recognition and Detection

3. Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks

4. Luo X, Li Y, Chang H, et al. Dvmark: a deep multi-scale framework for video watermarking. 2021. arXiv preprint arXiv:2104.12734.

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