Object Classification on VOC 2007 (test)
74.56Accuracy (k=1)CoMatch
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CoMatch#ImageNet labels=10%, #Pre-train epochs=400, Evaluation Protocol=Linear classification2020.11 | 74.56 | 80.6 | 83.24 | 86.07 | 87.91 | |
| Supervised#ImageNet labels=100%, #Pre-train epochs=90, Evaluation Protocol=Linear classification2020.11 | 73.51 | 79.6 | 82.75 | 85.55 | 87.12 | |
| CoMatch#ImageNet labels=1%, #Pre-train epochs=400, Evaluation Protocol=Linear classification2020.11 | 72.81 | 79.18 | 82.3 | 85.65 | 87.66 | |
| MoCov2#ImageNet labels=0%, #Pre-train epochs=800, Evaluation Protocol=Linear classification2020.11 | 70.47 | 76.74 | 80.61 | 84.6 | 86.83 | |
| SwAV#ImageNet labels=0%, #Pre-train epochs=400, Evaluation Protocol=Linear classification, Multi-crop augmentation=false2020.11 | 68.04 | 75.06 | 79.46 | 84.24 | 86.86 | |
| SwAV*#ImageNet labels=0%, #Pre-train epochs=800, Evaluation Protocol=Linear classification, Multi-crop augmentation=true2020.11 | 64.27 | 73.19 | 78.87 | 85.07 | 88.1 |