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GRTR: Gradient Rebalanced Traffic Sign Recognition for ...
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由 K Guo 著作2023被引用 21 次 — In this paper, we propose the gradient rebalanced traffic sign recognition (GRTR) method to address this problem for the first time.
GRTR: Gradient Rebalanced Traffic Sign Recognition for ...
ResearchGate
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GRTR rebalances the positive and negative sample gradients for each category based on the synergistic effect of the correction and compensation factors to ...
GRTR: Gradient Rebalanced Traffic Sign Recognition for ...
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由 K Guo 著作2023被引用 21 次 — This paper proposes a general approach to solving the long-tailed traffic sign recognition problem. Index Terms—Autonomous vehicles, traffic ...
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Gradient rebalanced traffic sign recognition... - Google 学术搜索
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Traffic sign recognition is a crucial aspect of autonomous vehicle research, and deep learning techniques have significantly contributed to its progress.
郭克华
中南大学教师个人主页
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GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles. IEEE Transactions on Automation Science and Engineering, 2023. online. (Q1, IF ...
Chao Liu's research works | Academy of Military Medical ...
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In this paper, we propose the gradient rebalanced traffic sign recognition (GRTR) method to address this problem for the first time. GRTR first evaluates the ...
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Large Multimodal Models for General Fine-grained Traffic ...
arXiv
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2024年8月29日 — Grtr: Gradient rebalanced traffic sign recognition for autonomous vehicles. IEEE Transactions on Automation Science and Engineering, 2023 ...
Application of Improved LeNet-5 Network in Traffic Sign ...
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The research results demonstrate that the improved LeNet-5 network has an identification accuracy rate of 98.12% and the identification time is 0.154s for ...
Traffic Sign Recognition using Optimized Federated ...
DTU Research Database
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由 Z Lian 著作2024被引用 9 次 — [3] presented a method called gradient rebalanced traffic sign recognition (GRTR) to address the long-tailed distribution of traffic sign ...
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Development of Deep Learning Models for Traffic Sign ...
The Science and Information (SAI) Organization
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Abstract—This research paper investigates the development of deep learning models for traffic sign recognition in autonomous vehicles.
8 頁
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