Image Classification on Flowers (Accuracy, Relative Gain, Statistical Tests)
99.85AccuracyMulti-Feature Aggregation for GNNs
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Multi-Feature Aggregation for GNNsFeatures=SWIN-TF + VIT-B16 + CNN-ResNet, Graph=SWIN-TF, M.L.=RDPAC2026.06 | 99.85 | 9 | 1.3 | 0.6797 | |
| SGC (SWIN-TF)Feature=SWIN-TF, M.L.=No Manifold Learning2026.06 | 99.76 | — | — | — |