Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets-Reference-Cited by-同舟云学术

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Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets

Published:2022-01 Issue:1 Volume:23 Page:190-199
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cortes Andoni^ORCID,Rodriguez Clemente,Velez Gorka^ORCID,Barandiaran Javier^ORCID,Nieto Marcos^ORCID

Funder

European GNSS Agency under the European Union’s Horizon 2020 innovation programme

INLANE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9664404/09151398.pdf?arnumber=9151398

Cited by 4 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. M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection;Expert Systems with Applications;2024-08

2. Metaverse Meets Intelligent Transportation System: An Efficient and Instructional Visual Perception Framework;IEEE Transactions on Intelligent Transportation Systems;2024

3. PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-01

4. Methodology for generating synthetic labeled datasets for visual container inspection;Transportation Research Part E: Logistics and Transportation Review;2023-07

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