2020 7th NAFOSTED Conference on Information and Computer Science (NICS) 2020
DOI: 10.1109/nics51282.2020.9335881
|View full text |Cite
|
Sign up to set email alerts
|

Lightweight Network for Vietnamese Landmark Recognition based on Knowledge Distillation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…Even though ResNet50 has been reported to achieve a higher accuracy than ResNet18 when trained on the Im-ageNet dataset [52], the authors in [53] also verified that ResNet18 can outperform ResNet50, when trained on the Places365 dataset. The olfaction accuracy, which is dependent on the scene classification accuracy is also the highest when employing ResNet18.…”
Section: E Accuracy Comparison Of Cnn Architecturesmentioning
confidence: 99%
“…Even though ResNet50 has been reported to achieve a higher accuracy than ResNet18 when trained on the Im-ageNet dataset [52], the authors in [53] also verified that ResNet18 can outperform ResNet50, when trained on the Places365 dataset. The olfaction accuracy, which is dependent on the scene classification accuracy is also the highest when employing ResNet18.…”
Section: E Accuracy Comparison Of Cnn Architecturesmentioning
confidence: 99%