One Spatio-Temporal Sharpening Attention Mechanism for Light-Weight YOLO Models Based on Sharpening Spatial Attention

Attention mechanisms have demonstrated great potential in improving the performance of deep convolutional neural networks (CNNs). However, many existing methods dedicate to developing channel or spatial attention modules for CNNs with lots of parameters, and complex attention modules inevitably affe...

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Detalles Bibliográficos
Autores principales: Xue, Mengfan, Chen, Minghao, Peng, Dongliang, Guo, Yunfei, Chen, Huajie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659721/
https://www.ncbi.nlm.nih.gov/pubmed/34883953
http://dx.doi.org/10.3390/s21237949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659721/
https://www.ncbi.nlm.nih.gov/pubmed/34883953
http://dx.doi.org/10.3390/s21237949

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