Few-shot classification on PatternNet (19-19)
0.9836AccuracyRGFS-Net
Evaluation results
| Method | Links | |
|---|---|---|
| RGFS-NetN-way=5, K-shot=52026.01 | 0.9836 | |
| RGFS-NetN-way=3, K-shot=52026.01 | 0.9806 | |
| RGFS-NetN-way=3, K-shot=52026.01 | 0.9762 | |
| SPNN-way=3, K-shot=52026.01 | 0.9712 | |
| RGFS-NetN-way=5, K-shot=52026.01 | 0.9537 | |
| SPNN-way=5, K-shot=52026.01 | 0.9513 | |
| PrototypicalN-way=3, K-shot=52026.01 | 0.9424 | |
| RGFS-NetN-way=3, K-shot=12026.01 | 0.9267 | |
| RelationNetN-way=3, K-shot=52026.01 | 0.9253 | |
| SPNN-way=3, K-shot=52026.01 | 0.921 | |
| RelationNetN-way=5, K-shot=52026.01 | 0.9187 | |
| PrototypicalN-way=5, K-shot=52026.01 | 0.9132 | |
| SPNN-way=3, K-shot=12026.01 | 0.9107 | |
| PrototypicalN-way=3, K-shot=12026.01 | 0.9098 | |
| RGFS-NetN-way=3, K-shot=12026.01 | 0.8883 | |
| RelationNetN-way=3, K-shot=12026.01 | 0.8862 | |
| RGFS-NetN-way=5, K-shot=12026.01 | 0.8832 | |
| PrototypicalN-way=5, K-shot=12026.01 | 0.8786 | |
| SPNN-way=5, K-shot=12026.01 | 0.8727 | |
| RelationNetN-way=5, K-shot=12026.01 | 0.8713 | |
| SPNN-way=5, K-shot=52026.01 | 0.8687 | |
| PrototypicalN-way=3, K-shot=52026.01 | 0.8598 | |
| RGFS-NetN-way=5, K-shot=12026.01 | 0.8534 | |
| RelationNetN-way=3, K-shot=52026.01 | 0.8399 | |
| RelationNetN-way=5, K-shot=52026.01 | 0.8365 | |
| PrototypicalN-way=5, K-shot=52026.01 | 0.8111 | |
| RelationNetN-way=3, K-shot=12026.01 | 0.7672 | |
| PrototypicalN-way=3, K-shot=12026.01 | 0.7634 | |
| SPNN-way=3, K-shot=12026.01 | 0.7634 | |
| RelationNetN-way=5, K-shot=12026.01 | 0.7395 | |
| SPNN-way=5, K-shot=12026.01 | 0.6873 | |
| PrototypicalN-way=5, K-shot=12026.01 | 0.6648 | |
| SiameseN-way=3, K-shot=12026.01 | 0.5772 | |
| SiameseN-way=3, K-shot=12026.01 | 0.5361 | |
| SiameseN-way=5, K-shot=12026.01 | 0.4697 | |
| SiameseN-way=5, K-shot=12026.01 | 0.411 |