Semi Supervised Image Classification On Cifar 6
평가 지표
Percentage error
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Percentage error |
|---|---|
| dp-ssl-towards-robust-semi-supervised | 4.78±0.26 |
| boosting-the-performance-of-semi-supervised | 5.51±0.25 |
| temporal-ensembling-for-semi-supervised | 53.12 |
| virtual-adversarial-training-a-regularization | 36.03 |
| doublematch-improving-semi-supervised | 5.56±0.42 |
| remixmatch-semi-supervised-learning-with-1 | 6.27 |
| simmatch-semi-supervised-learning-with | 4.84 |
| mixmatch-a-holistic-approach-to-semi | 11.08 |
| freematch-self-adaptive-thresholding-for-semi | 4.88 |
| contrastive-regularization-for-semi | 5.04 |
| mixup-beyond-empirical-risk-minimization | 47.43 |
| 모델 12 | 4.77±0.09 |
| realmix-towards-realistic-semi-supervised | 7.6 |
| debiased-learning-from-naturally-imbalanced | 4.6 |
| fixmatch-simplifying-semi-supervised-learning | 5.07±0.33 |
| realmix-towards-realistic-semi-supervised | 9.79 |
| mean-teachers-are-better-role-models-weight | 47.32 |
| flexmatch-boosting-semi-supervised-learning | 4.8±0.06 |
| dash-semi-supervised-learning-with-dynamic | 4.56±0.13 |
| diff-sysc-an-approach-using-diffusion-models | 3.65±0.10 |
| lidam-semi-supervised-learning-with-localized | 19.17 |
| np-match-when-neural-processes-meet-semi | 4.87 |
| shrinking-class-space-for-enhanced-certainty | 4.74 |
| selfmatch-combining-contrastive-self | 4.87±0.26 |