Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?

Moutik O, Sekkat H, Tigani S, Chehri A, Saadane R, Tchakoucht TA, Paul A

Open source

DOI
10.3390/s23020734
Published
2023 Jan 9
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s23020734,
  title = {Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?},
  author = {Moutik O and Sekkat H and Tigani S and Chehri A and Saadane R and Tchakoucht TA and Paul A},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23020734},
  url = {https://doi.org/10.3390/s23020734}
}

RIS

TY  - JOUR
TI  - Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?
AU  - Moutik O
AU  - Sekkat H
AU  - Tigani S
AU  - Chehri A
AU  - Saadane R
AU  - Tchakoucht TA
AU  - Paul A
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23020734
UR  - https://doi.org/10.3390/s23020734
ER  - 

APA

O, M., H, S., S, T., A, C., R, S., TA, T., & A, P. (2023). Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23020734

Source records