Image Classification on CUB 200 2011 (Accuracy and Statistical Comparison)
83.33AccuracyMulti-Feature Aggregation for GNNs
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Multi-Feature Aggregation for GNNsFeatures=VIT-B16, Graph=SWIN-TF, M.L.=RDPAC2026.06 | 83.33 | 1.56 | 7.55 | 4.5326 | |
| SGC (SWIN-TF)Feature=SWIN-TF, M.L.=No Manifold Learning2026.06 | 82.05 | — | — | — |