Image Classification on TinyImageNet (Accuracy and Latency)
66.14Top-1 AccAttentive CutMix
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Attentive CutMixBackbone=ResNet502026.06 | 66.14 | 76.16 | 56.36 | |
| PuzzleMixBackbone=ResNet502026.06 | 65.37 | 76.23 | 301 | |
| OA-CutMix/relBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 64.94 | 75.92 | 1.03 | |
| SnapMixBackbone=ResNet502026.06 | 64.64 | 75.75 | 51.49 | |
| OA-CutMix/relBackbone=ResNet502026.06 | 64.48 | 76.28 | 1.02 | |
| OA-CutMix/relBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 62.82 | 75.92 | — | |
| CutMix + decoupledBackbone=ResNet502026.06 | 62.41 | 75.43 | 0.6 | |
| ResizeMixBackbone=ResNet502026.06 | 62.28 | 75.11 | 0.62 | |
| FMixBackbone=ResNet502026.06 | 62.14 | 74.87 | 6.68 | |
| CutMixBackbone=ResNet502026.06 | 61.79 | 75.27 | 0.61 | |
| CutMix + decoupledBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 61.65 | 74.86 | — | |
| CutMix + decoupledBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 61.53 | 74.86 | 0.67 | |
| CutMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 61.08 | 74.02 | — | |
| PuzzleMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 60.81 | 72.89 | 273.28 | |
| Attentive CutMixBackbone=ResNet182026.06 | 60.75 | 76.16 | 56.36 | |
| TokenMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 60.49 | 73.42 | 39.91 | |
| Mixup + CutMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 60.36 | 72.93 | 0.7 | |
| MixupBackbone=ResNet502026.06 | 60.24 | 74.05 | 0.73 | |
| TokenMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 60.1 | 73.42 | — | |
| SAMixBackbone=ResNet502026.06 | 60.1 | 66.24 | 16.68 | |
| Attentive CutMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 59.95 | 73.56 | — | |
| Mixup + CutMixBackbone=ResNet502026.06 | 59.92 | 73.78 | 0.67 | |
| CutMix + decoupledBackbone=ResNet182026.06 | 59.88 | 75.43 | 0.6 | |
| AlignmixupBackbone=ResNet502026.06 | 59.56 | 74.57 | 1.98 | |
| OA-CutMix/relBackbone=ResNet182026.06 | 59.49 | 76.28 | 1.02 | |
| CutMixBackbone=ResNet182026.06 | 59.43 | 75.27 | 0.61 | |
| SnapMixBackbone=ResNet182026.06 | 59.25 | 75.75 | 51.49 | |
| CutMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 58.86 | 74.02 | 0.67 | |
| SAMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 57.91 | 72.65 | 88.27 | |
| FMixBackbone=ResNet182026.06 | 57.75 | 74.87 | 6.68 | |
| PuzzleMixBackbone=ResNet182026.06 | 57.71 | 76.23 | 301 | |
| VanillaBackbone=ResNet502026.06 | 57.37 | 72.14 | — | |
| SAMixBackbone=ResNet182026.06 | 57.06 | 66.24 | 16.68 | |
| PuzzleMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 56.96 | 72.89 | — | |
| Mixup + CutMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 56.74 | 72.93 | — | |
| Attentive CutMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 56.57 | 73.56 | 56.1 | |
| SnapMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 56.09 | 71.13 | 39.98 | |
| ResizeMixBackbone=ResNet182026.06 | 56.04 | 75.11 | 0.62 | |
| SAMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 55.46 | 72.65 | — | |
| FMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 54.41 | 69.87 | — | |
| SnapMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 54.39 | 71.13 | — | |
| AlignmixupBackbone=ResNet182026.06 | 54.34 | 74.57 | 1.98 | |
| MixupBackbone=ResNet182026.06 | 54.08 | 74.05 | 0.73 | |
| MixupBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 53.71 | 67.74 | 0.73 | |
| Mixup + CutMixBackbone=ResNet182026.06 | 53.71 | 73.78 | 0.67 | |
| FMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 52.83 | 69.87 | 6.8 | |
| ResizeMixBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 51.45 | 67.33 | 1.05 | |
| ResizeMixBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 50.5 | 67.33 | — | |
| VanillaBackbone=ResNet182026.06 | 50.11 | 72.14 | — | |
| MixupBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 49.62 | 67.74 | — | |
| VanillaBackbone=DeiT-S, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 46.18 | 61.71 | — | |
| VanillaBackbone=DeiT-Ti, Epochs=400, Batch size=128, Training Protocol=from scratch2026.06 | 42.83 | 61.71 | — |