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Benchmarks
Image Classification on SVHN 1,000 labels (train)
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3.96
Error Rate (%)
Triple-GAN-V2
2.6776
11.3338
19.99
28.6462
Dec 20, 2019
Error Rate (%)
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate (%)
Triple-GAN-V2
Number of labels=1000,...
2019.12
3.96
SNTG
Number of labels=1000,...
2019.12
4.02
BadGAN
Number of labels=1000,...
2019.12
4.25
VAT+Ent
Number of labels=1000,...
2019.12
4.28
MMCVA
Number of labels=1000,...
2019.12
4.95
MT
Number of labels=1000,...
2019.12
5.21
MT (our code base)
Number of labels=1000,...
2019.12
5.39
Π model
Number of labels=1000,...
2019.12
5.73
Triple-GAN-V1
Number of labels=1000,...
2019.12
5.77
VAT
Number of labels=1000,...
2019.12
5.77
Pseudo Label
Number of labels=1000,...
2019.12
7.62
Improved-GAN
Number of labels=1000,...
2019.12
8.11
SDGM
Number of labels=1000,...
2019.12
16.61
ADGM
Number of labels=1000,...
2019.12
22.86
M1+M2
Number of labels=1000,...
2019.12
36.02
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