Traffic sign classification with deformable convolution based on denoising residual convolutional autoencoder region localization

Traffic sign classification is particularly important in the field of autonomous driving. Image classification methods based on convolution have been widely studied. Traditional convolution, due to its fixed sampling and operation mode, is difficult to capture information in specific irregular key a...

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Veröffentlicht in:	Engineering Research Express Jg. 7; H. 4; S. 45257 - 45276
Hauptverfasser:	Pan, Hao, Guo, Qianlu, Yuan, Decheng, Pan, Duotao, Li, Dong, Yu, Qianxin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IOP Publishing 31.12.2025
Schlagworte:	deformable convolution image region localization multi-head self-attention mechanism residual convolutional autoencoder traffic sign classification
ISSN:	2631-8695, 2631-8695
Online-Zugang:	Volltext
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