AutoML on Stanford Cars

Metric: Accuracy (%) (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy (%)▼	Augmentations	Paper	Date↕	Code
1	NAT-M4	92.9	No	Neural Architecture Transfer	2020-05-12	Code
2	NAT-M3	92.6	No	Neural Architecture Transfer	2020-05-12	Code
3	NAT-M2	92.2	No	Neural Architecture Transfer	2020-05-12	Code
4	NAT-M1	90	No	Neural Architecture Transfer	2020-05-12	Code

#1NAT-M4SOTA
92.9
Accuracy (%)· 2020-05-12
Neural Architecture Transfer Code
#2NAT-M3
92.6
Accuracy (%)· 2020-05-12
Neural Architecture Transfer Code
#3NAT-M2
92.2
Accuracy (%)· 2020-05-12
Neural Architecture Transfer Code
#4NAT-M1
90
Accuracy (%)· 2020-05-12
Neural Architecture Transfer Code