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Traffic Sign Classification using Transformers
Traffic sign classification plays a crucial role in intelligent transportation systems (ITS) by ensuring accurate sign recognition for autonomous driving and Advanced Driver Assistance Systems (ADAS). However, traditional models struggle with challenges such as varying lighting conditions, occlusions, and visually similar signs, leading to ...Puvvala, Sree Dattha +3 more
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Lightweight deep network for traffic sign classification
Annals of Telecommunications, 2019Deeper neural networks have achieved great results in the field of computer vision and have been successfully applied to tasks such as traffic sign recognition. However, as traffic sign recognition systems are often deployed in resource-constrained environments, it is critical for the network design to be slim and accurate in these instances ...
Jianming Zhang +4 more
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Traffic Sign Detection and Classification
2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), 2023Vinayak Sharma +2 more
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Traffic Sign Classification Based on Prototypes
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2021Hao Fu, Hongjun Wang
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Traffic Sign Classification using Deep Learning
2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2023Ramya Sree Pothineni +3 more
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A Survey on 5G Usage Scenarios and Traffic Models
IEEE Communications Surveys and Tutorials, 2020Jorge Navarro-Ortiz +2 more
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Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
Nature Electronics, 2020Kyle Chen, Xiaoshi Li, Songlin Zhang
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Organization of the ER–Golgi interface for membrane traffic control
Nature Reviews Molecular Cell Biology, 2013Federica Brandizzi
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Rab GTPases as coordinators of vesicle traffic
Nature Reviews Molecular Cell Biology, 2009Harald A Stenmark
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