Image Classification on ImageNet 1k (ACC)
86.3AccuracyDINOv2
Evaluation Results
| Method | Links | |
|---|---|---|
| DINOv2ViT=L/14, Pre-training Data=LVD-142M, Evaluation Protocol=Linear, Notes=distilled from DINOv2-G2026.05 | 86.3 | |
| LOOPE (XG + XC)Model=Cross-ViT [2]2025.04 | 84.8 | |
| LOOPE (XG + XC)Model=ViT-Base [10]2025.04 | 84.7 | |
| Static (XG)Model=ViT-Base [10]2025.04 | 84.5 | |
| Static (XG)Model=Cross-ViT [2]2025.04 | 84.5 | |
| FrancaViT=L/14, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 84.5 | |
| SinusoidModel=ViT-Base [10]2025.04 | 84.4 | |
| DINOv2ViT=L/14, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 84 | |
| LearnableModel=ViT-Base [10]2025.04 | 83.6 | |
| LOOPE (XG + Xc)Backbone=DeiT-Base, Positional Encoding=LOOPE (XG + Xc)2025.04 | 83.5 | |
| LOOPE (XG + XC)Model=DeiT-Base [28]2025.04 | 83.5 | |
| LearnableModel=Cross-ViT [2]2025.04 | 83.5 | |
| LFF(Fourier)Backbone=DeiT-Base, Positional Encoding=LFF(Fourier)2025.04 | 83.4 | |
| 2D SinusoidBackbone=DeiT-Base, Positional Encoding=2D Sinusoid2025.04 | 83.2 | |
| Static (XG)Backbone=DeiT-Base, Positional Encoding=Static (XG)2025.04 | 83.1 | |
| Static (XG)Model=DeiT-Base [28]2025.04 | 83.1 | |
| LOOPE (XG + XC)Model=CaiT [29]2025.04 | 83.1 | |
| SinusoidModel=Cross-ViT [2]2025.04 | 83.1 | |
| LOOPE (XG + XC)Model=DeiT-Small [28]2025.04 | 83 | |
| AS2DRoPEBackbone=DeiT-Base, Positional Encoding=AS2DRoPE2025.04 | 82.9 | |
| SinusoidModel=DeiT-Small [28]2025.04 | 82.8 | |
| Static (XG)Model=DeiT-Small [28]2025.04 | 82.8 | |
| Static (XG)Model=CaiT [29]2025.04 | 82.8 | |
| CPEBackbone=DeiT-Base, Positional Encoding=CPE2025.04 | 82.7 | |
| No PEModel=ViT-Base [10]2025.04 | 82.7 | |
| CMAEvaluation Protocol=Methods requiring training (or fine-tuning)2026.03 | 82.64 | |
| SigLIP2ViT=L/16, Pre-training Data=WebLI, Evaluation Protocol=Linear2026.05 | 82.5 | |
| No PEModel=Cross-ViT [2]2025.04 | 82.4 | |
| Web-DINOViT=L/16, Pre-training Data=MC-2B, Evaluation Protocol=Linear2026.05 | 82.4 | |
| iBOTViT=L/16, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 82.3 | |
| LearnableModel=DeiT-Small [28]2025.04 | 82.2 | |
| LearnableModel=DeiT-Base [28]2025.04 | 82.1 | |
| TC-JEPAViT=L/16, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 82.1 | |
| SinusoidModel=DeiT-Base [28]2025.04 | 82 | |
| TC-JEPABackbone=ViT-L/14, Pre-training Data=CC27M, Protocol=linear classification2026.05 | 81.9 | |
| No PEModel=DeiT-Base [28]2025.04 | 81.7 | |
| LearnableModel=CaiT [29]2025.04 | 81.6 | |
| SinusoidModel=CaiT [29]2025.04 | 81.6 | |
| TC-JEPAViT=L/16, Pre-training Data=CC27M, Evaluation Protocol=Linear2026.05 | 81.4 | |
| No PEModel=DeiT-Small [28]2025.04 | 80.5 | |
| SigLIPViT=L/16, Pre-training Data=WebLI, Evaluation Protocol=Linear2026.05 | 80.5 | |
| RPEBackbone=DeiT-Base, Positional Encoding=RPE2025.04 | 80.3 | |
| No PEModel=CaiT [29]2025.04 | 80.3 | |
| CAPIViT=L/14, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 79.3 | |
| BSViTArchitecture=BSViT-10-512, Param (M)=38.65, Time Step=12026.04 | 78.98 | |
| A²OS²AArchitecture=Spiking Transformer-10-512, Param (M)=36.01, Time Step=42026.04 | 78.66 | |
| DreamLIPBackbone=ViT-B/16, Pre-training Data=CC30M, Protocol=linear classification2026.05 | 78.6 | |
| STAttenArchitecture=SDT-8-768, Param (M)=66.34, Time Step=42026.04 | 78.11 | |
| AugMix + ReActEvaluation Protocol=Methods requiring training (or fine-tuning)2026.03 | 77.63 | |
| AugMix + ASHEvaluation Protocol=Methods requiring training (or fine-tuning)2026.03 | 77.63 | |
| TC-JEPABackbone=ViT-B/16, Pre-training Data=CC27M, Protocol=linear classification2026.05 | 77.3 | |
| I-JEPAViT=L/16, Pre-training Data=IN-21k, Evaluation Protocol=Linear2026.05 | 77.2 | |
| TC-JEPABackbone=ViT-B/16, Pre-training Data=YFCC15M, Protocol=linear classification2026.05 | 77.1 | |
| SCALEEvaluation Protocol=Methods requiring training (or fine-tuning)2026.03 | 76.18 | |
| STAttenArchitecture=SDT-8-512, Param (M)=29.68, Time Step=42026.04 | 76.18 | |
| SpikingformerArchitecture=Spikingformer-8-768, Param (M)=66.34, Time Step=42026.04 | 75.85 | |
| DreamLIPBackbone=ViT-B/16, Pre-training Data=YFCC15M, Protocol=linear classification2026.05 | 75.2 | |
| SDTArchitecture=SDT-10-512, Param (M)=36.01, Time Step=42026.04 | 74.66 | |
| BSViTArchitecture=BSViT-8-384, Param (M)=18.01, Time Step=12026.04 | 74.37 | |
| SPARCBackbone=ViT-B/16, Pre-training Data=CC27M, Protocol=linear classification2026.05 | 74.1 | |
| A²OS²AArchitecture=Spiking Transformer-8-384, Param (M)=16.81, Time Step=42026.04 | 74.04 | |
| MaskCLIPBackbone=ViT-B/16, Pre-training Data=YFCC15M, Protocol=linear classification2026.05 | 73.7 | |
| SpikformerArchitecture=Spikformer-10-512, Param (M)=36.01, Time Step=42026.04 | 73.68 | |
| SPARCBackbone=ViT-B/16, Pre-training Data=YFCC15M, Protocol=linear classification2026.05 | 73.4 | |
| Cluster-aware UpcyclingArch.=MoE, MoE Init=Cluster-aware Upcycling, Evaluation Protocol=FT2026.04 | 73.3 | |
| CLIP-MoEArch.=MoE, MoE Init=CLIP-MoE, Evaluation Protocol=FT2026.04 | 73.2 | |
| Drop-UpcyclingArch.=MoE, MoE Init=Drop-Upcycling, Evaluation Protocol=FT2026.04 | 73.1 | |
| Sparse UpcyclingArch.=MoE, MoE Init=Sparse Upcycling, Evaluation Protocol=FT2026.04 | 73 | |
| DenseArch.=Dense, MoE Init=-, Evaluation Protocol=FT2026.04 | 72.8 | |
| Spiking ResNetArchitecture=ResNet-50, Param (M)=25.56, Time Step=3502026.04 | 72.75 | |
| SpikingformerArchitecture=Spikingformer-8-384, Param (M)=16.81, Time Step=42026.04 | 72.45 | |
| SDTArchitecture=SDT-8-512, Param (M)=29.68, Time Step=12026.04 | 71.68 | |
| BLIPBackbone=ViT-B/16, Pre-training Data=Merged14M, Protocol=linear classification2026.05 | 71.2 | |
| SpikformerArchitecture=Spikformer-8-384, Param (M)=16.81, Time Step=42026.04 | 70.24 | |
| GroupViTBackbone=ViT-S/16, Pre-training Data=CC27M, Protocol=linear classification2026.05 | 69.8 | |
| SEW ResNetArchitecture=SEW-ResNet-152, Param (M)=60.19, Time Step=42026.04 | 69.26 | |
| TETArchitecture=SEW-ResNet-34, Param (M)=21.79, Time Step=42026.04 | 68 | |
| LAPTEvaluation Protocol=Methods requiring training (or fine-tuning)2026.03 | 67.86 | |
| AdaNegEvaluation Protocol=Training-free & test-time adaptation methods2026.03 | 67.13 | |
| SEW ResNetArchitecture=SEW-ResNet-34, Param (M)=21.79, Time Step=42026.04 | 67.04 | |
| NegLabelEvaluation Protocol=Training-free & non-adaptive methods2026.03 | 66.82 | |
| TANLEvaluation Protocol=Training-free & test-time adaptation methods2026.03 | 66.82 | |
| CLIPBackbone=ViT-B/16, Pre-training Data=YFCC15M, Protocol=linear classification2026.05 | 66.5 | |
| MCMEvaluation Protocol=Training-free & non-adaptive methods2026.03 | 66.28 | |
| TETArchitecture=Spiking-ResNet-34, Param (M)=21.79, Time Step=62026.04 | 64.79 | |
| STBP-tdBNArchitecture=Spiking-ResNet-34, Param (M)=21.79, Time Step=62026.04 | 63.72 | |
| DsCoBackbone=EfficientNet-B0, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 63 | |
| Minimax-IGDBackbone=EfficientNet-B0, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 62.7 | |
| DiT-IGDBackbone=EfficientNet-B0, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 62 | |
| DFDsCoBackbone=EfficientNet-B0, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Free2026.03 | 61.8 | |
| Hybrid trainingArchitecture=ResNet-34, Param (M)=21.79, Time Step=2502026.04 | 61.48 | |
| DsCoBackbone=ResNet-18, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 60.4 | |
| Minimax-IGDBackbone=ResNet-18, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 60.3 | |
| DiT-IGDBackbone=ResNet-18, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 59.8 | |
| DsCoBackbone=MobileNet-V2, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 59 | |
| RDEDBackbone=EfficientNet-B0, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 58.5 | |
| Minimax-IGDBackbone=MobileNet-V2, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Accessible2026.03 | 58.5 | |
| DFDsCoBackbone=ResNet-18, IPC (Images Per Class)=50, Data Access Category (Data-Accessible/Data-Free)=Data-Free2026.03 | 58.2 | |
| Cluster-aware UpcyclingArch.=MoE, MoE Init=Cluster-aware Upcycling, Evaluation Protocol=10-shot2026.04 | 58.2 | |
| CLIP-MoEArch.=MoE, MoE Init=CLIP-MoE, Evaluation Protocol=10-shot2026.04 | 58 |