3DKD - An Effective Knowledge Distillation-Based Model for Human Fall Detection-Reference-Cited by-同舟云学术

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3DKD - An Effective Knowledge Distillation-Based Model for Human Fall Detection

Published:2023-12-23 Issue: Volume:2 Page:89-94
ISSN:
Container-title:2023 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
Short-container-title:

Author:

Hoa Trieu Xuan¹,Thuong Tran Thanh²,Antonette D. Clariño Maria Art³,Mariano Vladimir Y.⁴,M. Madrid Val Randolf³,H. Borromeo Ria Mae⁵

Affiliation:

1. Thai Nguyen University of Agriculture and Forestry

2. Thai Nguyen University

3. Institute of Computer Science, University of the Philippines Los Baños

4. Fulbright School of Public Policy and Management, Fulbright University,Vietnam

5. ICTDO UP Open University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10471760/10471767/10471785.pdf?arnumber=10471785

Reference24 articles.

1. A survey on vision-based fall detection

2. A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset

3. Ensemble Methods in Machine Learning

4. Model compression

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