DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources

This is a preprint and may not have undergone formal peer review

Sharifi, A, Zibaei, A and Rezaei, M orcid.org/0000-0003-3892-421X (2020) DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources. [Preprint - arXiv]

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Item Type: Preprint
Authors/Creators:
Dates:
  • Published: 13 July 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Nov 2024 16:00
Last Modified: 19 Nov 2024 16:00
Identification Number: 10.48550/arXiv.2007.06392
Open Archives Initiative ID (OAI ID):

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