Image Classification on CIFAR-100 (Standard Test Set)
26.6Top-1 Error RateLaplaceNet
Evaluation results
| Method | Links | |
|---|---|---|
| LaplaceNetLabeled Samples=10000, Architecture=13-CNN2021.06 | 26.6 | |
| LaplaceNetLabeled Samples=4000, Architecture=13-CNN2021.06 | 31.64 | |
| DAGLabeled Samples=10000, Architecture=13-CNN2021.06 | 32.15 | |
| LP+Labeled Samples=10000, Architecture=13-CNN2021.06 | 32.5 | |
| Dual StudentLabeled Samples=10000, Architecture=13-CNN2021.06 | 32.77 | |
| MT-fast-SWALabeled Samples=10000, Architecture=13-CNN2021.06 | 34.1 | |
| MT-LPLabeled Samples=10000, Architecture=13-CNN2021.06 | 35.92 | |
| MT+Labeled Samples=10000, Architecture=13-CNN2021.06 | 36.08 | |
| Supervised BaselineLabeled Samples=10000, Architecture=13-CNN2021.06 | 36.59 | |
| LP+Labeled Samples=4000, Architecture=13-CNN2021.06 | 37.38 | |
| DAGLabeled Samples=4000, Architecture=13-CNN2021.06 | 37.55 | |
| SNTGLabeled Samples=10000, Architecture=13-CNN2021.06 | 37.97 | |
| TSSDL+Labeled Samples=10000, Architecture=13-CNN2021.06 | 38.43 | |
| Π-ModelLabeled Samples=10000, Architecture=13-CNN2021.06 | 39.19 | |
| MT-LPLabeled Samples=4000, Architecture=13-CNN2021.06 | 43.73 | |
| MT+Labeled Samples=4000, Architecture=13-CNN2021.06 | 45.36 | |
| TSSDL+Labeled Samples=4000, Architecture=13-CNN2021.06 | 46.2 | |
| Supervised BaselineLabeled Samples=4000, Architecture=13-CNN2021.06 | 53.1 |