An Adaptive Hierarchical Framework With Contrastive Aggregation for Traffic Sign Classification

Autonomous vehicles rely on accurate traffic sign classification, which is typically achieved through supervised learning. However, the diversity and complexity of traffic signs make it impractical to rely solely on large labeled datasets. While abundant data exists for common signs such as stop and...

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書目詳細資料

Principais autores:	Rodolfo Valiente, Jiejun Xu, Alireza Esna Ashari
格式:	Artigo
語言:	Inglês
出版:	IEEE 2025-01-01
叢編:	IEEE Open Journal of Intelligent Transportation Systems
主題:	Autonomous systems contrastive aggregation few-shot learning traffic sign classification
在線閱讀:	https://ieeexplore.ieee.org/document/10907807/
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