Cargando…
3D network with channel excitation and knowledge distillation for action recognition
Modern action recognition techniques frequently employ two networks: the spatial stream, which accepts input from RGB frames, and the temporal stream, which accepts input from optical flow. Recent researches use 3D convolutional neural networks that employ spatiotemporal filters on both streams. Alt...
Autores principales: | Hu, Zhengping, Mao, Jianzeng, Yao, Jianxin, Bi, Shuai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076829/ https://www.ncbi.nlm.nih.gov/pubmed/37033413 http://dx.doi.org/10.3389/fnbot.2023.1050167 |
Ejemplares similares
-
Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge
por: Maraghi, Vali Ollah, et al.
Publicado: (2022) -
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework
por: Sundaresan, Vaanathi, et al.
Publicado: (2023) -
Physical-model guided self-distillation network for single image dehazing
por: Lan, Yunwei, et al.
Publicado: (2022) -
A 3DCNN-Based Knowledge Distillation Framework for Human Activity Recognition
por: Ullah, Hayat, et al.
Publicado: (2023) -
Explaining Neural Networks Using Attentive Knowledge Distillation
por: Lee, Hyeonseok, et al.
Publicado: (2021)