Image Classification on Imagenette
98AccuracyUMAP
Evaluation Results
| Method | Links | |
|---|---|---|
| UMAPSupervised Evaluator=5-NN classifier, Embedding=UMAP, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| Finsler UMAPSupervised Evaluator=5-NN classifier, Embedding=Finsler UMAP, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| t-SNESupervised Evaluator=5-NN classifier, Embedding=t-SNE, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| Finsler t-SNESupervised Evaluator=5-NN classifier, Embedding=Finsler t-SNE, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| Finsler UMAPSupervised Evaluator=Linear classifier, Embedding=Finsler UMAP, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| t-SNESupervised Evaluator=Linear classifier, Embedding=t-SNE, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| Finsler t-SNESupervised Evaluator=Linear classifier, Embedding=Finsler t-SNE, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 98 | |
| UMAPSupervised Evaluator=Linear classifier, Embedding=UMAP, Evaluation Protocol=2-stratified 5-fold CV (10 runs)2026.03 | 97 | |
| RDCNet2026.04 | 93.48 | |
| TeacherBackbone=ResNet182026.04 | 91.29 | |
| TeacherResolution=high-resolution2026.04 | 90.47 | |
| Student-FullResolution=high-resolution2026.04 | 89.89 | |
| SSCNet2026.04 | 88.75 | |
| QKFormer2026.04 | 88.42 | |
| WRN-28-102026.04 | 88.34 | |
| FAVOR+2026.04 | 88.16 | |
| EfficientNet2026.04 | 88.06 | |
| Couplformer2026.04 | 87.91 | |
| GhostNet2026.04 | 87.83 | |
| ResNet-342026.04 | 87.72 | |
| CAPR-DenseNet2026.04 | 87.72 | |
| Multi-ResNet2026.04 | 87.71 | |
| HO-ResNet2026.04 | 87.23 | |
| ATONet2026.04 | 86.68 | |
| DivBFKDDistillation setting=black-box, Real image budget (N)=2 K, Synthetic image budget (M)=40 K, Resolution=high-resolution2026.04 | 86.48 | |
| AdaSTEBackbone=ResNet-18, Mixup=true, Annealing=true2021.12 | 80.91 | |
| AdaSTEBackbone=ResNet-18, Mixup=false, Annealing=true2021.12 | 79.66 | |
| BayesBiNNBackbone=ResNet-18, Mixup=true2021.12 | 79.59 | |
| BayesBiNNBackbone=ResNet-18, Mixup=false2021.12 | 78.19 | |
| Standard-KDDistillation setting=black-box, Real image budget (N)=2 K, Synthetic image budget (M)=40 K, Resolution=high-resolution2026.04 | 76.94 | |
| Vanilla Adamηinit=10−3, Backbone=ResNet-18, Epochs=20, Seeds=52026.07 | 76.9 | |
| Student-AloneReal image budget (N)=2 K, Resolution=high-resolution2026.04 | 76.8 | |
| Adam-InitOnly (dir.)ηinit=10−3, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 76.7 | |
| Adam-InitOnly (dir.)ηinit=10−2, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 75 | |
| Adam-InitOnly (dir.)ηinit=0.3, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 74.2 | |
| Adam-InitOnly (dir.)ηinit=10−1, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 73.8 | |
| Adam-InitOnly (dir.)ηinit=1.0, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 72.9 | |
| Vanilla Adamηinit=10−2, Backbone=ResNet-18, Epochs=20, Seeds=52026.07 | 72.4 | |
| Adam-InitOnly (dir.)ηinit=3.0, Backbone=ResNet-18, Epochs=20, Seeds=5, Probe=Direction-matched, κ=2, Calibration=none2026.07 | 71.8 | |
| DIP-KDBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 61.84 | |
| DFHL-RSBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 40.53 | |
| IDEALBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 36.9 | |
| ZSDB3Backbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 33.43 | |
| NaiveKDBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 33.21 |