Image Classification on ImageNet (test) (Category Accuracy Breakdown)
96.76Top-1 Accuracy (Animals)AC3S
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AC3SBackbone=Swin-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 96.76 | 81.41 | 84.19 | |
| Text2ImgBackbone=Swin-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 96.33 | 78.05 | 81.36 | |
| 3D-DSTBackbone=Swin-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 96.25 | 80.28 | 83.17 | |
| BaselineBackbone=Swin-S, Pre-training Data=None, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 96.16 | 78.37 | 81.59 | |
| 3D-DSTBackbone=ConvNeXt-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 95.39 | 78.9 | 81.89 | |
| AC3SBackbone=ConvNeXt-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 95.14 | 80.01 | 82.75 | |
| BaselineBackbone=ConvNeXt-S, Pre-training Data=None, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 94.03 | 77.05 | 80.12 | |
| Text2ImgBackbone=ConvNeXt-S, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 93.52 | 76.05 | 79.21 | |
| AC3SBackbone=ResNet-18, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 92.66 | 73.93 | 77.33 | |
| 3D-DSTBackbone=ResNet-18, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 91.98 | 73.63 | 76.96 | |
| Text2ImgBackbone=ResNet-18, Pre-training Data=Synthetic, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 91.89 | 73.8 | 77.08 | |
| BaselineBackbone=ResNet-18, Pre-training Data=None, Evaluation Protocol=Fine-tuned to ImageNet2026.06 | 91.3 | 73.08 | 76.34 |