Image Classification on Oxford-IIIT Pet
97.1AccuracyJFT - Adaptive Transfer
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| JFT - Adaptive TransferPre-training Source=JFT, Backbone=Inception v3, Evaluation Protocol=Fine-tuning2018.11 | 97.1 | — | — | |
| JFT - AnimalPre-training Source=JFT, Subset=Animal, Backbone=Inception v3, Evaluation Protocol=Fine-tuning2018.11 | 96.7 | — | — | |
| DINOv2Arch.=ViT-L*, SSL Type Target=GL+DE, SSL Type Method=DIST+MIM, Evaluation Protocol=linear probing2026.02 | 96.08 | — | — | |
| CapPa L/14Backbone Scale=L/14, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 95.6 | — | — | |
| DINOv2Arch.=ViT-B*, SSL Type Target=GL+DE, SSL Type Method=DIST+MIM, Evaluation Protocol=linear probing2026.02 | 95.59 | — | — | |
| CLIP L/14Backbone Scale=L/14, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 95.4 | — | — | |
| SARELearning Paradigm=Training-based2026.03 | 95.38 | — | — | |
| CLIP* L/14Backbone Scale=L/14, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 95.2 | — | — | |
| CrossViT-18Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 95.07 | — | — | |
| DeiT-SPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 94.93 | — | — | |
| SFDAcomTop-k=k=32022.07 | 94.92 | — | — | |
| SFDATop-k=k=32022.07 | 94.82 | — | — | |
| NLEEPTop-k=k=32022.07 | 94.71 | — | — | |
| LogMETop-k=k=32022.07 | 94.7 | — | — | |
| AWTShots=162024.07 | 94.63 | — | — | |
| LogMETop-k=k=22022.07 | 94.62 | — | — | |
| SFDAcomTop-k=k=22022.07 | 94.62 | — | — | |
| NLEEPTop-k=k=22022.07 | 94.59 | — | — | |
| SFDATop-k=k=22022.07 | 94.58 | — | — | |
| CrossViT-15Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 94.55 | — | — | |
| CapPaBackbone Scale=B/16, Pre-training Batch Size=8k, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 94.4 | — | — | |
| DeiT-BPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 94.39 | — | — | |
| ImageNet - Adaptive TransferPre-training Source=ImageNet, Backbone=Inception v3, Evaluation Protocol=Fine-tuning2018.11 | 94.1 | — | — | |
| ProVP-RefShots=162024.07 | 93.89 | — | — | |
| DINOArch.=ViT-B, SSL Type Target=GLOBAL, SSL Type Method=DISTILL, Evaluation Protocol=linear probing2026.02 | 93.84 | — | — | |
| AWTShots=82024.07 | 93.83 | — | — | |
| PromptSRCShots=162024.07 | 93.67 | — | — | |
| CLIP* (16k)Backbone Scale=B/16, Pre-training Batch Size=16k, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 93.6 | — | — | |
| CLIPBackbone Scale=B/16, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 93.6 | — | — | |
| PLOT++Shots=162025.10 | 93.6 | — | — | |
| PLOT++Shots=162024.07 | 93.59 | — | — | |
| ISyNet-N1-S32021.09 | 93.57 | — | — | |
| ISyNet-N22021.09 | 93.55 | — | — | |
| PromptSRCShots=82024.07 | 93.5 | — | — | |
| AWTShots=42024.07 | 93.5 | — | — | |
| ISyNet-N32021.09 | 93.46 | — | — | |
| APE-TShots=82024.07 | 93.46 | — | — | |
| CoCoOpShots=82024.07 | 93.45 | — | — | |
| PromptSRCShots=42024.07 | 93.43 | — | — | |
| CLIP* (8k)Backbone Scale=B/16, Pre-training Batch Size=8k, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 93.4 | — | — | |
| CoCoOpShots=162024.07 | 93.34 | — | — | |
| ImageNet - Entire DatasetPre-training Source=ImageNet, Backbone=Inception v3, Evaluation Protocol=Fine-tuning2018.11 | 93.3 | — | — | |
| ResNet-34+2021.09 | 93.3 | — | — | |
| ProVP-RefShots=82024.07 | 93.27 | — | — | |
| ResNet-50+2021.09 | 93.22 | — | — | |
| SupervisedProtocol=Fine-tuned, Backbone=ResNet-50 (4x), Pre-training=ImageNet2020.02 | 93.2 | — | — | |
| CoCoOpShots=162025.10 | 93.2 | — | — | |
| KgCoOpShots=162025.10 | 93.2 | — | — | |
| APE-TShots=162024.07 | 93.16 | — | — | |
| CapBackbone Scale=B/16, Pre-training Batch Size=8k, Evaluation Protocol=Frozen visual representations with single transformer decoder2023.06 | 93.1 | — | — | |
| LRWOpt2024.03 | 93.09 | — | — | |
| PLOT++Shots=82024.07 | 93.02 | — | — | |
| ProVP-RefShots=42024.07 | 93.02 | — | — | |
| Supervised(IN1K)Pretrain Dataset=1.2M, Backbone=ResNet-50, Evaluation Protocol=End-to-end fine-tuning2022.04 | 93 | — | — | |
| AWTShots=22024.07 | 92.98 | — | — | |
| AWTShots=12024.07 | 92.89 | — | — | |
| CoCoOpShots=42024.07 | 92.81 | — | — | |
| ProGradShots=162025.10 | 92.8 | — | — | |
| LRW-Hard2024.03 | 92.72 | — | — | |
| CoCoOpShots=42025.10 | 92.7 | — | — | |
| PLOT++Shots=42025.10 | 92.7 | — | — | |
| ISyNet-N1-S22021.09 | 92.65 | — | — | |
| CoCoOpShots=22024.07 | 92.64 | — | — | |
| KgCoOpShots=42025.10 | 92.6 | — | — | |
| TIP-AdapterShots=162025.10 | 92.6 | — | — | |
| CoOpShots=42024.07 | 92.57 | — | — | |
| PLOT++Shots=42024.07 | 92.55 | — | — | |
| STELLARArch.=ViT-L, SSL Type Target=SPARSE, SSL Type Method=INV+REC, Evaluation Protocol=linear probing2026.02 | 92.53 | — | — | |
| STELLARArch.=ViT-H, SSL Type Target=SPARSE, SSL Type Method=INV+REC, Evaluation Protocol=linear probing2026.02 | 92.53 | — | — | |
| FSR2024.03 | 92.51 | — | — | |
| Entire JFT DatasetPre-training Source=JFT, Backbone=Inception v3, Evaluation Protocol=Fine-tuning2018.11 | 92.5 | — | — | |
| PromptSRCShots=22024.07 | 92.5 | — | — | |
| CoOpShots=42025.10 | 92.5 | — | — | |
| iBOTArch.=ViT-B, SSL Type Target=GL+DE, SSL Type Method=DIST+MIM, Evaluation Protocol=linear probing2026.02 | 92.4 | — | — | |
| LRW-Random2024.03 | 92.38 | — | — | |
| BILAW2024.03 | 92.38 | — | — | |
| ISyNet-N1-S12021.09 | 92.35 | — | — | |
| RHO-LOSS2024.03 | 92.35 | — | — | |
| APE-TShots=42024.07 | 92.34 | — | — | |
| ERM2024.03 | 92.33 | — | — | |
| ProVP-RefShots=22024.07 | 92.31 | — | — | |
| SupervisedProtocol=Linear evaluation, Backbone=ResNet-50 (4x), Pre-training=ImageNet2020.02 | 92.3 | — | — | |
| CLIP-AdapterShots=162025.10 | 92.3 | — | — | |
| PLOT++Shots=22024.07 | 92.29 | — | — | |
| IndividualBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=12024.05 | 92.23 | — | — | |
| MBW2024.03 | 92.18 | — | — | |
| MAPLE2024.03 | 92.17 | — | — | |
| iBOTArch.=ViT-L, SSL Type Target=GL+DE, SSL Type Method=DIST+MIM, Evaluation Protocol=linear probing2026.02 | 92.12 | — | — | |
| SupervisedEvaluation protocol=Fine-tuned, Pre-training=ImageNet, Backbone=ResNet-502020.02 | 92.1 | — | — | |
| SimCLRProtocol=Fine-tuned, Backbone=ResNet-50 (4x), Pre-training=ImageNet2020.02 | 92.1 | — | — | |
| KgCoOpShots=12025.10 | 92.1 | — | — | |
| CLIP-LoRA + FMAShots=12025.10 | 92.1 | — | — | |
| ProGradShots=42025.10 | 92.1 | — | — | |
| MWN2024.03 | 92.04 | — | — | |
| PromptSRCShots=12024.07 | 92 | — | — | |
| CoCoOpShots=12025.10 | 91.9 | — | — | |
| PLOT++Shots=12025.10 | 91.9 | — | — | |
| CLIP-LoRAShots=12025.10 | 91.9 | — | — | |
| TIP-AdapterShots=42025.10 | 91.9 | — | — | |
| PLOT++Shots=12024.07 | 91.89 | — | — |