Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems
Author:
Affiliation:
1. Pontifícia Universidade Católica do Paraná,Graduate Program in Informatics,Curitiba,PR,Brazil
2. Universidade Federal do Paraná,Department of Informatics,Curitiba,PR,Brazil
3. Pontifícia Universidade Católica do Paraná,Curitiba,PR,Brazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892783.pdf?arnumber=9892783
Reference19 articles.
1. Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features
2. Parking Space Occupancy Verification - Improving Robustness using a Convolutional Neural Network
3. Generalized Parking Occupancy Analysis Based on Dilated Convolutional Neural Network
4. Naïve approaches to deal with concept drifts;almeida;2020 IEEE International Conference on Systems Man and Cybernetics (SMC),0
5. An Efficient Algorithm for Detection of Vacant Spaces in Delimited and Non-Delimited Parking Lots
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1. Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
2. Vision Transformer based Intelligent Parking System for Smart Cities;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04
3. Optimized real-time parking management framework using deep learning;Expert Systems with Applications;2023-06
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