Image Classification on Oxford-IIIT Pet (Top-1 Acc)
96.54Top-1 AccuracyDINOv3-B/16
Evaluation Results
| Method | Links | |
|---|---|---|
| DINOv3-B/16Evaluation Protocol=Linear Probe2026.05 | 96.54 | |
| DINOv2-reg-B/14Evaluation Protocol=Linear Probe2026.05 | 95.97 | |
| VECA-B/16Evaluation Protocol=Linear Probe, Core tokens (C)=642026.05 | 95.67 | |
| DINOv2-B/14Evaluation Protocol=Linear Probe2026.05 | 95.61 | |
| VECA-B/16Evaluation Protocol=Linear Probe, Core tokens (C)=82026.05 | 95.12 | |
| iBOTBackbone=ViT-L/16, Pre-training Epochs=250, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 94 | |
| DINOBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 93.6 | |
| iBOTBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 93.6 | |
| DFNCLIP-B/16Evaluation Protocol=Linear Probe2026.05 | 93.59 | |
| AM-RADIOv2.5-B/16Evaluation Protocol=Linear Probe2026.05 | 93.54 | |
| SigLIP 2-B/16Evaluation Protocol=Linear Probe2026.05 | 92.89 | |
| I-JEPABackbone=ViT-H/14, Pre-training Epochs=300, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 92.8 | |
| CLIP-B/16Evaluation Protocol=Linear Probe2026.05 | 92.72 | |
| OpenCLIP-B/16Evaluation Protocol=Linear Probe2026.05 | 91.91 | |
| MAEBackbone=ViT-L/16, Pre-training Epochs=1600, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.06 | 91.3 | |
| MoCoV3Backbone=ViT-B/16, Pre-training Epochs=300, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 89.8 | |
| LeJEPA*Backbone=ViT-L/14, Pre-training Epochs=100, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=1002026.06 | 89.7 | |
| VISRegBackbone=ViT-L/14, Pre-training Epochs=400, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.06 | 89.2 | |
| Grad-MimicNoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 88.8 | |
| VISRegBackbone=ViT-L/14, Pre-training Epochs=100, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=1002026.06 | 88.7 | |
| Rho-LossNoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 88.53 | |
| VISRegBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.06 | 88.3 | |
| Grad-MimicNoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 88.25 | |
| Rho-LossNoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 87.79 | |
| SGDNoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 87.33 | |
| Grad-MimicNoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 87.14 | |
| Grad-MatchNoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 86.86 | |
| Rho-LossNoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 86.86 | |
| Grad-MatchNoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 85.75 | |
| SGDNoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 85.55 | |
| AGRANoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 85.25 | |
| SGDNoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 83.51 | |
| Grad-MatchNoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 83.18 | |
| data2vecBackbone=ViT-L/14, Pre-training Epochs=1600, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.06 | 83 | |
| AGRANoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 82.53 | |
| AGRANoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 78.39 | |
| Grad-NormNoise Level=0.4, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 69.47 | |
| Grad-NormNoise Level=0.5, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 60.02 | |
| Grad-NormNoise Level=0.6, Evaluation Protocol=linear probing, Backbone=ViT-B/162025.01 | 48.13 |