Image Classification on iNaturalist 2017
83.8AccuracyHiera-H448
Evaluation Results
| Method | Links | |
|---|---|---|
| Hiera-H448backbone=Hiera-H4482023.06 | 83.8 | |
| MAEBackbone=ViT-H, Input Resolution=448, Pre-train Data=IN1K, Evaluation Protocol=Fine-tuned2021.11 | 83.4 | |
| ViT-H448backbone=ViT-H4482023.06 | 83.4 | |
| Hiera-Hbackbone=Hiera-H2023.06 | 79.6 | |
| MAEBackbone=ViT-H, Pre-train Data=IN1K, Evaluation Protocol=Fine-tuned2021.11 | 79.3 | |
| ViT-Hbackbone=ViT-H2023.06 | 79.3 | |
| Hiera-Lbackbone=Hiera-L2023.06 | 76.8 | |
| MAEBackbone=ViT-L, Pre-train Data=IN1K, Evaluation Protocol=Fine-tuned2021.11 | 75.7 | |
| ViT-Lbackbone=ViT-L2023.06 | 75.7 | |
| Previous best2021.11 | 75.4 | |
| Hiera-B+backbone=Hiera-B+2023.06 | 74.7 | |
| Hiera-Bbackbone=Hiera-B2023.06 | 73.3 | |
| MAEBackbone=ViT-B, Pre-train Data=IN1K, Evaluation Protocol=Fine-tuned2021.11 | 70.5 | |
| ViT-Bbackbone=ViT-B2023.06 | 70.5 | |
| RAMS-TransBackbone=ViT-B_162021.07 | 68.5 | |
| TASNBackbone=ResNet1012021.07 | 68.2 | |
| IncResNetV2Backbone=InResNetV22021.07 | 67.3 | |
| ViTBackbone=ViT-B_162021.07 | 67 | |
| Huang et al.Backbone=ResNet1012021.07 | 66.8 | |
| TransFG & PSMBackbone=ViT-B_162021.07 | 66.6 | |
| SSNBackbone=ResNet1012021.07 | 65.2 | |
| Resnet152Backbone=ResNet1522021.07 | 59 |