Image Classification on Caltech-256 (Accuracy)
97.33AccuracyHIVE
Evaluation results
| Method | Links | |
|---|---|---|
| HIVEFoundation Model=SigLIP2026.03 | 97.33 | |
| BaseFoundation Model=SigLIP2026.03 | 97.27 | |
| SAFoundation Model=SigLIP2026.03 | 97.27 | |
| DREAMWay=5, Shot=52026.03 | 96.4 | |
| HIVEFoundation Model=CLIP2026.03 | 96.35 | |
| SAFoundation Model=CLIP2026.03 | 96.27 | |
| BaseFoundation Model=CLIP2026.03 | 96.12 | |
| CLIPWay=5, Shot=52026.03 | 95.1 | |
| WukongBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 89.2 | |
| CLIPBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 89 | |
| AXISArchitecture=ViT-B-322025.08 | 88.88 | |
| FILIPBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 88.4 | |
| CLIPBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 88.3 | |
| aTLASArchitecture=ViT-B-322025.08 | 88.09 | |
| WukongBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 87.1 | |
| FILIPBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 86.2 | |
| CLIPBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 82.7 | |
| WukongBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 82.3 | |
| FR-ResNet18#Samples=140002022.10 | 81.85 | |
| FR-ResNet18#Samples=130002022.10 | 81.58 | |
| Noun SubmanifoldBackbone=CLIP ViT-B-32, Evaluation Protocol=Zero-shot2023.05 | 81.5 | |
| ResNet18#Samples=140002022.10 | 81.28 | |
| FR-ResNet18#Samples=120002022.10 | 81.25 | |
| ResNet18#Samples=130002022.10 | 80.91 | |
| FR-ResNet18#Samples=110002022.10 | 80.84 | |
| ResNet18#Samples=120002022.10 | 80.57 | |
| POS PGABackbone=CLIP ViT-B-32, Evaluation Protocol=Zero-shot2023.05 | 80.5 | |
| FR-ResNet18#Samples=100002022.10 | 80.24 | |
| CLIPBackbone=CLIP ViT-B-32, Evaluation Protocol=Zero-shot2023.05 | 80.1 | |
| POS PCABackbone=CLIP ViT-B-32, Evaluation Protocol=Zero-shot2023.05 | 80.1 | |
| ResNet18#Samples=110002022.10 | 80.02 | |
| FR-ResNet18#Samples=90002022.10 | 79.69 | |
| ResNet18#Samples=100002022.10 | 79.65 | |
| FR-ResNet18#Samples=80002022.10 | 79.39 | |
| ResNet18#Samples=90002022.10 | 78.98 | |
| FR-ResNet18#Samples=70002022.10 | 78.42 | |
| ResNet18#Samples=80002022.10 | 78.06 | |
| ResNet18#Samples=70002022.10 | 77.37 | |
| FR-ResNet18#Samples=60002022.10 | 77.3 | |
| ResNet18#Samples=60002022.10 | 76.34 | |
| FR-ResNet18#Samples=50002022.10 | 75.9 | |
| ResNet18#Samples=50002022.10 | 74.75 | |
| REPAWay=5, Shot=52026.03 | 73.6 | |
| FILIPBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 71 | |
| BriVLZero-shot=true, Pre-training Dataset=Own dataset2022.02 | 58 | |
| FLUIDWay=5, Shot=52026.03 | 58 | |
| MARWay=5, Shot=52026.03 | 56.1 | |
| SimSiam + AugSelfFine-tuning strategy=L2SP, Pre-trained on=ImageNet100, Backbone=ResNet-502021.11 | 54.66 | |
| SimSiamFine-tuning strategy=L2SP, Pre-trained on=ImageNet100, Backbone=ResNet-502021.11 | 52.37 |