Image Classification on Oxford-Flowers
99.7Top-1 AccuracyARC*
Evaluation Results
| Method | Links | |
|---|---|---|
| ARC*Backbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.25, Data Augmentation=Advanced (cutmix, mixup, label smoothing)2023.10 | 99.7 | |
| SSF*Backbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.39, Data Augmentation=Advanced (cutmix, mixup, label smoothing)2023.10 | 99.6 | |
| ARCattBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.222023.10 | 99.4 | |
| ARCBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.252023.10 | 99.3 | |
| LoRABackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.442023.10 | 99.2 | |
| TResNet-LSpeed (img/sec)=500, Input resolution=368, Precision=Mixed Precision V100 GPU2020.03 | 99.1 | |
| VPT-DeepBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.852023.10 | 99 | |
| EfficientNet-B7Speed (img/sec)=70, Input resolution=600, Precision=Mixed Precision V100 GPU2020.03 | 98.8 | |
| DeiT-Bvariant=22022.04 | 98.8 | |
| DearKD-BStudent Network=DeiT-B2022.04 | 98.8 | |
| EfficientNet-B7# Params=64.0M, # FLOPs=37.2B, Resolution=600, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.8 | |
| TNT-S# Params=23.8M, # FLOPs=17.3B, Resolution=384, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.8 | |
| Full fine-tuningBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=85.982023.10 | 98.8 | |
| BiasBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.282023.10 | 98.8 | |
| AlphaNet-A6Backbone=AlphaNet-A6, FLOPs=709 M, Pre-training=ImageNet, Fine-tuning=true2021.02 | 98.7 | |
| CMT-S# Params=25.1M, # FLOPs=4.04B, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.7 | |
| CeiT-S# Params=24.2M, # FLOPs=12.9B, Resolution=384, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.6 | |
| EffiNet-B52022.04 | 98.5 | |
| Inception-v4# Params=41.1M, # FLOPs=16.1B, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.5 | |
| AdapterBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.412023.10 | 98.5 | |
| SSFBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.39, Data Augmentation=Basic2023.10 | 98.5 | |
| DeiT-Bvariant=12022.04 | 98.4 | |
| DeiT-B# Params=85.8M, # FLOPs=17.6B, Pre-training=ImageNet, Fine-tuning=true2021.07 | 98.4 | |
| VPT-ShallowBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.252023.10 | 98.4 | |
| DINO + SEREMode=Fine-tuning2022.06 | 98 | |
| Linear probingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Params(M)=0.182023.10 | 97.9 | |
| EfficientNet-B1Backbone=EfficientNet-B1, FLOPs=700 M, Pre-training=ImageNet, Fine-tuning=true2021.02 | 97.8 | |
| DINOMode=Fine-tuning2022.06 | 97.8 | |
| AlphaNet-A0Backbone=AlphaNet-A0, FLOPs=203 M, Pre-training=ImageNet, Fine-tuning=true2021.02 | 97.7 | |
| DearKD-SStudent Network=DeiT-S2022.04 | 97.4 | |
| ResNet-152# Params=58.1M, # FLOPs=11.3B, Pre-training=ImageNet, Fine-tuning=true2021.07 | 97.4 | |
| EfficientNet-B0Backbone=EfficientNet-B0, FLOPs=390 M, Pre-training=ImageNet, Fine-tuning=true2021.02 | 97.2 | |
| DearKD-TiStudent Network=DeiT-Ti2022.04 | 95.1 | |
| AttrVREvaluation Protocol=few-shot, Backbone=ViT-B/162026.06 | 93.1 | |
| BioMedVREvaluation Protocol=few-shot, Backbone=ViT-B/162026.06 | 93 | |
| Gated Prompt TuningBackbone=ViT-S, Pre-training strategy=MoCo v3, # of prompt tokens=482023.06 | 91.14 | |
| ViT-L/162022.04 | 89.7 | |
| VPT-DEEPBackbone=ViT-S, Pre-training strategy=MoCo v3, # of prompt tokens=482023.06 | 89.53 | |
| ViT-B/162022.04 | 89.5 | |
| ViT-B/16# Params=85.8M, # FLOPs=17.6B, Resolution=384, Pre-training=ImageNet, Fine-tuning=true2021.07 | 89.5 | |
| ViT-L/322022.04 | 86.4 | |
| AREvaluation Protocol=few-shot, Backbone=ViT-B/162026.06 | 86.2 | |
| ViT-B/322022.04 | 85.4 | |
| VPT-SHALLOWBackbone=ViT-S, Pre-training strategy=MoCo v3, # of prompt tokens=482023.06 | 84.65 | |
| VPEvaluation Protocol=few-shot, Backbone=ViT-B/162026.06 | 83.3 | |
| DMAEModel Scale=L6H62026.01 | 83.18 | |
| SWEETModel Scale=L6H62026.01 | 83.12 | |
| WAVEModel Scale=L6H62026.01 | 80.26 | |
| WT-SelectModel Scale=L6H62026.01 | 76.65 | |
| Iso. PruningModel Scale=L6H62026.01 | 75.77 | |
| AWTTrain=false2024.07 | 75.07 | |
| Gated Prompt TuningBackbone=ViT-L, Pre-training strategy=MAE, # of prompt tokens=482023.06 | 74.71 | |
| MMRL + MetaTPTadaptation=MetaTPT2025.12 | 74.22 | |
| SuS-X-SDTrain=false2024.07 | 73.81 | |
| MMRL + TPTadaptation=TPT2025.12 | 72.89 | |
| MMRLadaptation=none2025.12 | 72.77 | |
| POMPTrain=true2024.07 | 72.72 | |
| MaPLe + MetaTPTadaptation=MetaTPT2025.12 | 72.7 | |
| PromptAlignTrain=true2024.07 | 72.39 | |
| MaPLe + PromptAlignadaptation=PromptAlign2025.12 | 72.39 | |
| MaPLe + TPTadaptation=TPT2025.12 | 72.37 | |
| WaffleCLIPTrain=false2024.07 | 72.35 | |
| MaPLeTrain=true2024.07 | 72.23 | |
| MaPLeadaptation=none2025.12 | 72.23 | |
| BioMedVREvaluation Protocol=zero-shot, Backbone=ViT-B/162026.06 | 72.2 | |
| CoCoOpTrain=true2024.07 | 71.88 | |
| Self-TPT-vTrain=true2024.07 | 71.79 | |
| ProVP-RefTrain=true2024.07 | 71.62 | |
| CLIP-ViT-B/16Layers=-2026.03 | 71.38 | |
| CuPLTrain=false2024.07 | 71.3 | |
| TCA (Baseline)Layers=3, 6, 9, KeepRate=0.72026.03 | 71.17 | |
| VisDescTrain=false2024.07 | 70.85 | |
| Col-LnLayers=3, 6, 9, KeepRate=0.72026.03 | 70.85 | |
| CLIP + MetaTPTadaptation=MetaTPT2025.12 | 70.77 | |
| DiffTPTTrain=true2024.07 | 70.1 | |
| TCA (Baseline)Layers=0, 3, 6, KeepRate=0.72026.03 | 69.59 | |
| CoOp + MetaTPTadaptation=MetaTPT2025.12 | 69.14 | |
| PLOT++Train=true2024.07 | 69.1 | |
| TPTTrain=true2024.07 | 68.98 | |
| CLIP + TPTadaptation=TPT2025.12 | 68.98 | |
| CoOpTrain=true2024.07 | 68.71 | |
| CoOpadaptation=none2025.12 | 68.71 | |
| Col-LnLayers=0, 3, 6, KeepRate=0.72026.03 | 68.53 | |
| CoOp + TPTadaptation=TPT2025.12 | 68.48 | |
| CLIPTrain=false2024.07 | 67.44 | |
| CLIPadaptation=none2025.12 | 67.44 | |
| VPT-DEEPBackbone=ViT-L, Pre-training strategy=MAE, # of prompt tokens=482023.06 | 65.44 | |
| VPT-SHALLOWBackbone=ViT-L, Pre-training strategy=MAE, # of prompt tokens=482023.06 | 62.77 | |
| CLIPEvaluation Protocol=zero-shot, Backbone=ViT-B/162026.06 | 59.6 |