ASNet: Auto-Augmented Siamese Neural Network for Action Recognition

Human action recognition methods in videos based on deep convolutional neural networks usually use random cropping or its variants for data augmentation. However, this traditional data augmentation approach may generate many non-informative samples (video patches covering only a small part of the fo...

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Detalles Bibliográficos
Autores principales: Zhang, Yujia, Po, Lai-Man, Xiong, Jingjing, REHMAN, Yasar Abbas Ur, Cheung, Kwok-Wai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309510/
https://www.ncbi.nlm.nih.gov/pubmed/34300460
http://dx.doi.org/10.3390/s21144720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309510/
https://www.ncbi.nlm.nih.gov/pubmed/34300460
http://dx.doi.org/10.3390/s21144720

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