5-way Few-Shot Image Classification on CIFAR FS (1, 5, 20, 50-Shot)
80.32Accuracy (1-shot)uDTW
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| uDTW2026.05 | 80.32 | 91.15 | — | — | |
| sDTW2026.05 | 79.96 | 90.24 | — | — | |
| CPEA2026.05 | 77.82 | 88.98 | — | — | |
| ASCM2026.05 | 77.25 | 88.83 | — | — | |
| Euclidean2026.05 | 74.01 | 85.45 | — | — | |
| L2TT2026.05 | 73.6 | 85.8 | — | — | |
| LA-PID2026.05 | 73.2 | 85.8 | — | — | |
| SSL-ProtoNet2026.05 | 60.41 | 76.52 | — | — | |
| TSP-HeadBackbone=ResNet, Trials=10,0002020.11 | 54.65 | 73.7 | 81.67 | 83.86 | |
| SimCLRBackbone=ResNet, Trials=10,0002020.11 | 53.86 | 69.19 | 75.22 | 77.11 | |
| BaselineBackbone=ResNet, Trials=10,0002020.11 | 53.25 | 72.05 | 80.03 | 82.16 | |
| CUMCABackbone=ResNet, Trials=10,000, SES+SNS=true2020.11 | 53.11 | 70.99 | 78.75 | 80.95 | |
| CACTUSBackbone=ResNet, Trials=10,000, SES+SNS=true2020.11 | 52.53 | 73.57 | 78.48 | 79.8 | |
| HMSBackbone=ResNet, Trials=10,0002020.11 | 52.2 | 72.23 | 82.08 | 84.51 | |
| CACTUSBackbone=ResNet, Trials=10,0002020.11 | 51.96 | 69.08 | 74.11 | 75.38 | |
| CUMCABackbone=ResNet, Trials=10,0002020.11 | 50.48 | 67.83 | 73.04 | 75.04 | |
| MoCo-v2Backbone=ResNet, Trials=10,0002020.11 | 49.73 | 64.81 | 71.14 | 72.7 | |
| MoCHiBackbone=ResNet, Trials=10,0002020.11 | 48.42 | 63.91 | 71.1 | 72.9 | |
| VanillaBackbone=ResNet, Trials=10,0002020.11 | 46.73 | 62.93 | 67.43 | 70.76 |