Object Classification on ImageNet-1K
88Top-1 AccSigLIP2
Evaluation Results
| Method | Links | |
|---|---|---|
| SigLIP2Parameters=1.2B, Evaluation Protocol=Attentive probe2025.06 | 88 | |
| PEcoreGParameters=1.9B, Evaluation Protocol=Attentive probe, Input Resolution=256x2562025.06 | 87.6 | |
| DINOv2Parameters=1.1B, Evaluation Protocol=Attentive probe2025.06 | 86.1 | |
| InternVideo2_s2-1BParameters=1B, Evaluation Protocol=Attentive probe2025.06 | 85.8 | |
| V-JEPA 2 ViT-g384Parameters=1B, Input Resolution=384x3842025.06 | 85.1 | |
| V-JEPA 2 ViT-gParameters=1B2025.06 | 84.6 | |
| V-JEPA 2 ViT-HParameters=600M2025.06 | 83.8 | |
| V-JEPA 2 ViT-LParameters=300M2025.06 | 83.5 | |
| PIIP-BResolution=512/256/128, #Param=100M, #FLOPs=18.4G2025.01 | 82.7 | |
| ViT-BResolution=224, #Param=86M, #FLOPs=17.5G2025.01 | 82 | |
| V-JEPA ViT-HParameters=600M, Evaluation Protocol=Attentive probe2025.06 | 80 | |
| MogaNet-TType=C, Image Size=256x256, Parameters=5.2M, FLOPs=1.44G, refined training scheme=true2022.11 | 80 | |
| MogaNet-TType=C, Image Size=224x224, Parameters=5.2M, FLOPs=1.10G2022.11 | 79 | |
| ParC-Net-SType=C, Image Size=256x256, Parameters=5.0M, FLOPs=3.48G2022.11 | 78.6 | |
| MobileViT-SType=H, Image Size=256x256, Parameters=5.6M, FLOPs=4.02G2022.11 | 78.4 | |
| MobileFormer-294MType=H, Image Size=224x224, Parameters=11.4M, FLOPs=0.59G2022.11 | 77.9 | |
| SReT-TDistillType=T, Image Size=224x224, Parameters=4.8M, FLOPs=1.10G2022.11 | 77.6 | |
| CoaT-Lite-TType=H, Image Size=224x224, Parameters=5.7M, FLOPs=1.60G2022.11 | 77.5 | |
| ConvNext-XTType=C, Image Size=224x224, Parameters=7.4M, FLOPs=0.60G2022.11 | 77.5 | |
| Swin-1GType=H, Image Size=224x224, Parameters=7.3M, FLOPs=1.00G2022.11 | 77.3 | |
| MogaNet-XTType=C, Image Size=256x256, Parameters=3.0M, FLOPs=1.04G2022.11 | 77.2 | |
| EfficientNet-B0Type=C, Image Size=224x224, Parameters=5.3M, FLOPs=0.39G2022.11 | 77.1 | |
| LeViT-SType=H, Image Size=224x224, Parameters=7.8M, FLOPs=0.31G2022.11 | 76.6 | |
| RegNetY-800MFType=C, Image Size=224x224, Parameters=6.3M, FLOPs=0.80G2022.11 | 76.3 | |
| ShuffleNetV2 2×Type=C, Image Size=224x224, Parameters=5.5M, FLOPs=0.60G2022.11 | 75.4 | |
| VAN-B0Type=C, Image Size=224x224, Parameters=4.1M, FLOPs=0.88G2022.11 | 75.4 | |
| ViT-CType=T, Image Size=224x224, Parameters=4.6M, FLOPs=1.10G2022.11 | 75.3 | |
| PVT-TType=T, Image Size=224x224, Parameters=13.2M, FLOPs=1.60G2022.11 | 75.1 | |
| PiT-TiType=H, Image Size=224x224, Parameters=4.9M, FLOPs=0.70G2022.11 | 74.6 | |
| DeiT-TType=T, Image Size=224x224, Parameters=5.7M, FLOPs=1.08G, Variant=†2022.11 | 74.1 | |
| T2T-ViT-7Type=T, Image Size=224x224, Parameters=4.3M, FLOPs=1.20G2022.11 | 71.7 | |
| ResNet-18Type=C, Image Size=224x224, Parameters=11.7M, FLOPs=1.80G2022.11 | 71.5 | |
| VideoMAEv2Parameters=1B2025.06 | 71.4 |