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JunlinHan
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YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
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1% label and 10% label in Table 4 (Results of contrasitve learning)
#8
khawar-islam
opened
7 months ago
1
Same data augmentation but different instance
#7
qsunyuan
closed
1 year ago
1
Calculating accuracy on CIFAR-10 multiple times or Single time
#6
khawar-islam
opened
1 year ago
1
Missing Test top-1 error rate
#5
khawar-islam
opened
1 year ago
1
Enjoys the properties of parameter-free,
#4
khawar-islam
closed
1 year ago
1
YOCO generates a single image when we have single image
#3
khawar-islam
closed
1 year ago
4
请问这个怎么应用到yolov5上
#2
chenxiniubi666
opened
2 years ago
1
Did you split the training dataset into train and val？
#1
Fivethousand5k
closed
2 years ago
4