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uoguelph-mlrg
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Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
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About Adam and AdaBelief
#20
wgqhandsome
opened
4 months ago
0
CutOut in Albumentations
#19
ternaus
opened
6 months ago
5
Is other torch version suitable for this code? I can't install torch==0.4.0
#18
TrinhThiBaoAnh
closed
1 year ago
0
Bug report same images are multiply generated when using multiple workers.
#17
akiraf0421
opened
2 years ago
0
problem in getting same output size as batch size from forward function
#16
MotiBaadror
opened
2 years ago
0
Which version of SVHN is used to train?
#15
QiushiYang
closed
2 years ago
1
Extending Cutout with a probability of when it is applied
#14
aisosalo
opened
3 years ago
3
Questions about the parameters of cutout in object detection?
#13
sky-fly97
closed
4 years ago
1
Why does resnet18 in the report achieve such high accuracy?
#12
shuoshuoa
closed
4 years ago
1
Was additional data augmented during testing? Such as Flip?
#11
shuoshuoa
closed
4 years ago
1
About the test accuracy of cifar 100 on ResNet-18 without cutout
#10
WeihanLikk
closed
4 years ago
5
nb_layers should be int
#9
Hvitgar
opened
4 years ago
1
TypeError: 'tuple' object is not callable
#8
etetteh
closed
4 years ago
4
hi,I have a question about your paper?Could you give me some tips?
#7
gogo03
closed
4 years ago
2
Need Help Getting Cutout to work Properly
#6
pGit1
closed
5 years ago
2
Could you add a LICENSE.md?
#5
ahundt
closed
5 years ago
2
What is the cutout region for Imagenet
#4
weiaicunzai
closed
5 years ago
1
I really like your idea, I think this is a very useful idea.
#3
izhangh
closed
6 years ago
0
Is there any change in Wide ResNet for STL10?
#2
xyzacademic
closed
6 years ago
8
Type uint8_t overflow fix and python3, pytorch 0.4.0 compatibility
#1
raeidsaqur
closed
6 years ago
1