Image Classification on CIFAR-100 10k labels (test)
0.3277Test Error RateDual Student
Evaluation Results
| Method | Links | |
|---|---|---|
| Dual Studenttraining epochs=4802019.09 | 0.3277 | |
| Dual Studenttraining epochs=3002019.09 | 0.3308 | |
| MT + FSWAtraining epochs=12002019.09 | 0.3362 | |
| MT + FSWAtraining epochs=3002019.09 | 0.341 | |
| Deep CTtraining epochs=6002019.09 | 0.3463 | |
| Π + FSWAtraining epochs=3002019.09 | 0.3514 | |
| MTtraining epochs=3002019.09 | 0.3596 | |
| Temptraining epochs=3002019.09 | 0.3865 | |
| Πtraining epochs=3002019.09 | 0.3919 | |
| Suvio&Daino*Iter.=2^202026.04 | 18.4 | |
| JEPAMatchIter.=2^172026.04 | 18.55 | |
| FlatMatchIter.=2^202026.04 | 19.01 | |
| RegMixMatch*Iter.=2^202026.04 | 19.41 | |
| ReMixMatchIter.=2^202026.04 | 20.02 | |
| CrMatchIter.=2^202026.04 | 20.4 | |
| SimMatchIter.=2^202026.04 | 20.58 | |
| FreeMatchIter.=2^202026.04 | 21.68 | |
| FlexMatchIter.=2^202026.04 | 21.9 | |
| SoftMatchIter.=2^202026.04 | 22.03 | |
| FixMatchIter.=2^202026.04 | 22.2 | |
| UDAIter.=2^202026.04 | 22.49 | |
| SemCoBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.04 | 24.45 | |
| UDABackbone=WideResnet-28-22021.04 | 24.5 | |
| SemCoBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.04 | 25.07 | |
| SHOT-VAEParameter Amount=36.5 M2020.11 | 25.3 | |
| MixMatchNumber of labeled samples=10000, Model parameters=26M2019.05 | 25.88 | |
| MixMatchParameter Amount=36.5 M2020.11 | 25.88 | |
| FixMatchBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.04 | 26.13 | |
| Mean TeacherParameter Amount=36.5 M2020.11 | 27.71 | |
| MixMatchIter.=2^202026.04 | 27.78 | |
| FixMatchBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.04 | 28.42 | |
| MixMatchBackbone=WideResnet-28-2, shared_codebase=true2021.04 | 28.59 | |
| SWANumber of labeled samples=10000, Model parameters=26M2019.05 | 28.8 | |
| Pi-ModelParameter Amount=36.5 M2020.11 | 31.12 | |
| SHOT-VAEParameter Amount=1.5 M2020.11 | 31.41 | |
| MeanTeacherIter.=2^202026.04 | 31.75 | |
| PLCBBackbone=CNN-132021.04 | 32.15 | |
| LPParameter Amount=1.5 M2020.11 | 35.92 | |
| PseudoLabelIter.=2^202026.04 | 36.55 | |
| CT-GANParameter Amount=1.5 M2020.11 | 37.16 | |
| VATParameter Amount=1.5 M2020.11 | 37.78 | |
| MixupParameter Amount=1.5 M2020.11 | 38.62 | |
| Mean TeacherParameter Amount=1.5 M2020.11 | 38.92 | |
| Pi-ModelParameter Amount=1.5 M2020.11 | 39.19 |