Low-shot Recognition on ModelNet40-LS (test)
62.76Acc (5-way 1-shot)DOPE - ABC
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DOPE - ABCTraining Mode=Self-supervised, Training Dataset=ABC2022.11 | 62.76 | 76.86 | 49.39 | 64.77 | |
| VISPE++ - MoCoV2 - ABCTraining Mode=Self-supervised, SSL Framework=MoCoV2, Training Dataset=ABC, Evaluation Classifier=1-nearest neighbor classifier2022.11 | 61.07 | 75.96 | 47.67 | 63.27 | |
| VISPE++ - SimSiam - ABCTraining Mode=Self-supervised, SSL Framework=SimSiam, Training Dataset=ABC, Evaluation Classifier=1-nearest neighbor classifier2022.11 | 60.24 | 76.55 | 47.02 | 64.51 | |
| DOPE - ABC - pred. maskTraining Mode=Self-supervised, Training Dataset=ABC, Mask=pred. mask from [66]2022.11 | 57.63 | 71.62 | 43.43 | 57.72 | |
| DOPETraining Mode=Self-supervised2022.11 | 57.51 | 70.44 | 42.73 | 55.52 | |
| FEATTraining Mode=Supervised2022.11 | 57.46 | 71.73 | 41.72 | 57.84 | |
| RFSTraining Mode=Supervised, Evaluation Classifier=Logistic regression-based classifier2022.11 | 57.31 | 73.77 | 42.22 | 59.97 | |
| VISPE++ - MoCoV2Training Mode=Self-supervised, SSL Framework=MoCoV2, Evaluation Classifier=1-nearest neighbor classifier2022.11 | 57.05 | 71.81 | 43.23 | 58.68 | |
| SimpleShotTraining Mode=Supervised2022.11 | 56.55 | 69.87 | 41.27 | 54.84 | |
| VISPETraining Mode=Self-supervised, Evaluation Classifier=Nearest class mean classifier2022.11 | 56.27 | 67.76 | 40.41 | 51.97 | |
| SupMoCoTraining Mode=Supervised, Evaluation Classifier=Logistic regression-based classifier2022.11 | 55.32 | 71.82 | 39.87 | 57.15 | |
| VISPE++ - SimSiamTraining Mode=Self-supervised, SSL Framework=SimSiam, Evaluation Classifier=1-nearest neighbor classifier2022.11 | 53.83 | 68.75 | 39.84 | 54.34 |