Image Classification on CIFAR-100 10000 labels (test)
16.24Error RateSelf-Tuning+HCR
Evaluation Results
| Method | Links | |
|---|---|---|
| Self-Tuning+HCRNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.06 | 16.24 | |
| Self-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.06 | 17.57 | |
| FixMatchNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.06 | 21.69 | |
| Fine-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.06 | 21.74 | |
| FixMatch + IAM-Dlabeled samples=100002026.05 | 21.99 | |
| Co-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.06 | 22.22 | |
| FixMatch + CMW-Net2022.02 | 22.55 | |
| FixMatch2022.02 | 22.6 | |
| FixMatchlabeled samples=100002026.05 | 22.93 | |
| ReMixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 23.03 | |
| FixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 23.18 | |
| UDANetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 24.5 | |
| UDA2022.02 | 24.5 | |
| EnAETLabels=100002019.11 | 26.93 | |
| MixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 28.31 | |
| MixMatch2022.02 | 28.31 | |
| Mean TeacherNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 35.83 | |
| Mean Teacher2022.02 | 35.83 | |
| Pseudo-LabelingNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 36.21 | |
| Pseudo-Labeling2022.02 | 36.21 | |
| Π-ModelNetwork=WRN-28-8, Number of Parameters=11.76M2022.06 | 37.88 | |
| Π-Model2022.02 | 37.88 | |
| Temporal ensemblingLabels=100002019.11 | 38.65 | |
| Pi-ModelLabels=100002019.11 | 39.19 | |
| IAM-Dlabeled samples=100002026.05 | 40.02 | |
| SAMlabeled samples=100002026.05 | 43.3 | |
| SGDlabeled samples=100002026.05 | 45.94 | |
| Supervised-onlyLabels=100002019.11 | 51.21 |