YOLOv5: Case Study of Image Resolution Influence on Fire Detection-Reference-Cited by-同舟云学术

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YOLOv5: Case Study of Image Resolution Influence on Fire Detection

Published:2023-09-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium ELMAR
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Author:

Maric Petar¹,Hrzic Franko²,Arlovic Matej¹,Patel Mitesh³,Azeem Muhammad Moazam⁴,Balen Josip¹

Affiliation:

1. Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek,Faculty of Electrical Engineering,Osijek,Croatia,31000

2. University of Rijeka,Faculty of Engineering,Rijeka,Croatia,51000

3. NVIDIA Corporation,Santa Clara,CA,United States,95051

4. Qatar University,Doha,Qatar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253661/10253888/10253913.pdf?arnumber=10253913

Reference29 articles.

1. SSD: Single Shot MultiBox Detector;liu;Computer Vision - ECCV 2016 ser Lecture Notes in Computer Science,0

2. R-FCN: Object detection via region-based fully convolutional networks;dai;Proceedings of the 30th International Conference on Neural Information Processing Systems ser NIPS'16,0

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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