5-way Image Classification on meta-iNat
76.111-shot Accuracy (5-way)ARF-SFR-Net-Snapshot
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ARF-SFR-Net-SnapshotBackbone=Conv-42026.04 | 76.11 | 89.9 | |
| ARF-SFR-NetBackbone=Conv-42026.04 | 75.21 | 88.95 | |
| SUITEDBackbone=Conv-42026.04 | 74.72 | 87.44 | |
| C2-NetBackbone=Conv-42026.04 | 71.47 | 85.47 | |
| BTG-NetBackbone=Conv-42026.04 | 71.36 | 84.59 | |
| TST_MFLBackbone=Conv-42026.04 | 69.71 | 81.04 | |
| AISBackbone=Conv-42026.04 | 68.4 | 82.46 | |
| BDFRNetBackbone=Conv-42026.04 | 66.07 | 83.3 | |
| TDM+IAMBackbone=Conv-42026.04 | 65.95 | 83.3 | |
| FRN+TDMBackbone=Conv-42026.04 | 63.97 | 81.6 | |
| FRNBackbone=Conv-42026.04 | 61.98 | 80.04 | |
| DSNBackbone=Conv-42026.04 | 58.08 | 77.38 | |
| DeepEMDBackbone=Conv-42026.04 | 54.48 | 68.36 | |
| ProtoNetBackbone=Conv-42026.04 | 53.78 | 73.8 |