Error Detection on EuroSAT
98.1AuROCOurs
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OursBackbone=SigLIP ViT-B/162025.11 | 98.1 | 98.03 | 2.93 | |
| OursBackbone=CLIP ViT-B/162025.11 | 97.64 | 96.16 | 3.35 | |
| Ours-DBackbone=CLIP ViT-B/16, Covariance=Diagonal2025.11 | 97.32 | 95.91 | 7.39 | |
| Ours-DBackbone=SigLIP ViT-B/16, Covariance=Diagonal2025.11 | 96.93 | 96.95 | 12.67 | |
| Ours-DBackbone=CLIP ViT-B/32, Covariance=Diagonal2025.11 | 96.56 | 92.57 | 24.82 | |
| OursBackbone=CLIP ViT-B/322025.11 | 96.37 | 94.14 | 16.39 | |
| DynProto2026.04 | 95.33 | — | 18.28 | |
| PCME++Backbone=CLIP ViT-B/322025.11 | 89.31 | 99.8 | 42.57 | |
| RMDSBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 85.29 | — | — | |
| ASHBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 84.23 | — | — | |
| ReactBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 84.2 | — | — | |
| ODINBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 83.74 | — | — | |
| VIMBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 82.34 | — | — | |
| MSPBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 81.97 | — | — | |
| MaxLogitBackbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 80.02 | — | — | |
| CLS-MBackbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 79.52 | — | — | |
| GradNormBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 79.02 | — | — | |
| EnergyBackbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 78.87 | — | — | |
| CLS-EBackbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 78.58 | — | — | |
| MDSBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 77.76 | — | — | |
| TempScalingBackbone=CLIP ViT-B/162025.11 | 76.22 | 73.7 | 81.28 | |
| MaxSoftmaxBackbone=CLIP ViT-B/162025.11 | 76.21 | 73.69 | 81.15 | |
| KNNBackbone=ViT-B/16, Evaluation Protocol=Fully Fine-tuned2024.05 | 76.14 | — | — | |
| TrustVLM*Backbone=SigLIP ViT-B/16, Extra features=DinoV22025.11 | 74.97 | 92.16 | 74.2 | |
| MaxSoftmaxBackbone=SigLIP ViT-B/162025.11 | 74.91 | 69.24 | 80.3 | |
| NegLabel2026.04 | 74.46 | — | 64.89 | |
| EntropyBackbone=SigLIP ViT-B/162025.11 | 74.41 | 69.04 | 82.51 | |
| TempScalingBackbone=SigLIP ViT-B/162025.11 | 74.4 | 68.62 | 80.85 | |
| TrustVLM*Backbone=CLIP ViT-B/16, Extra features=DinoV22025.11 | 73.72 | 91.84 | 73.66 | |
| EntropyBackbone=CLIP ViT-B/162025.11 | 71.97 | 67.99 | 83.73 | |
| BayesVLMBackbone=SigLIP ViT-B/162025.11 | 70.54 | 62.52 | 82.52 | |
| NegPromptBackbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 69.98 | — | — | |
| LoCoOp (GL-MCM)Backbone=ViT-B/16, Evaluation Protocol=16-shot Prompt Learning2024.05 | 69.08 | — | — | |
| ZeroBackbone=CLIP ViT-B/162025.11 | 66.73 | 61.81 | 87.23 | |
| ZeroBackbone=SigLIP ViT-B/162025.11 | 66.63 | 55.79 | 87.95 | |
| MaxSoftmaxBackbone=CLIP ViT-B/322025.11 | 63.25 | 51.62 | 87.97 | |
| TempScalingBackbone=CLIP ViT-B/322025.11 | 63.25 | 51.62 | 87.95 | |
| ProLIPBackbone=CLIP ViT-B/162025.11 | 62.42 | 60.64 | 89.44 | |
| BayesVLMBackbone=CLIP ViT-B/322025.11 | 61.46 | 41.49 | 90.56 | |
| EntropyBackbone=CLIP ViT-B/322025.11 | 61.03 | 50.28 | 92.07 | |
| MaxCosineBackbone=SigLIP ViT-B/162025.11 | 60.47 | 54.2 | 98.93 | |
| MaxCosineBackbone=CLIP ViT-B/162025.11 | 59.24 | 48.18 | 87.98 | |
| CLIPNBackbone=ViT-B/16, Evaluation Protocol=Zero-shot CLIP2024.05 | 57.56 | — | — | |
| AdaNegBackbone=ViT-B/16, Evaluation Protocol=Zero-shot CLIP2024.05 | 53.05 | — | — | |
| NegLabelBackbone=ViT-B/16, Evaluation Protocol=Zero-shot CLIP2024.05 | 53.02 | — | — | |
| MCMBackbone=ViT-B/16, Evaluation Protocol=Zero-shot CLIP2024.05 | 50.97 | — | — | |
| MaxCosineBackbone=CLIP ViT-B/322025.11 | 45.72 | 35.14 | 97.84 | |
| ProbVLMBackbone=CLIP ViT-B/322025.11 | 42.72 | 30.23 | 95.53 |