Domain Generalization on TerraIncognita (test)
78.4AccuracyText-Anchored Information Bottleneck
Evaluation Results
| Method | Links | |
|---|---|---|
| Text-Anchored Information BottleneckBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 78.4 | |
| Text-Anchored Information BottleneckBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 76.7 | |
| Text-Anchored Information BottleneckBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 73.5 | |
| Text-Anchored Information BottleneckBackbone=DeiT, Pre-training source=IN-1K2026.07 | 71.5 | |
| Text-Anchored Information BottleneckBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 63.6 | |
| CLIPoodBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 62.5 | |
| VL2VBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 61.6 | |
| VL2VBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 61.1 | |
| MIROBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 60.4 | |
| RISEBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 60.2 | |
| MIROBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 58.9 | |
| CLIPoodBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 58.1 | |
| MIROBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 57.7 | |
| CLIPoodBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 57.5 | |
| LPBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 57.4 | |
| VL2VBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 57 | |
| LPBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 55.5 | |
| VL2VBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 55.3 | |
| LPBackbone=RegNetY-16GF, Pre-training source=IG-3B2026.07 | 55.2 | |
| RISE (ERM + Hint + AD + RD + MT)Backbone=ResNet50, Ens/MA=Yes2023.09 | 54 | |
| DAMPEvaluation Protocol=Prompt Learning, Backbone=ViT-B/162024.03 | 53.7 | |
| CORALEvaluation Protocol=Fine-tuning (CLIP), Backbone=ViT-B/162024.03 | 53.5 | |
| RISEBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 53.4 | |
| VL2VBackbone=DeiT, Pre-training source=IN-1K2026.07 | 53.4 | |
| DPLEvaluation Protocol=Prompt Learning, Backbone=ViT-B/162024.03 | 52.6 | |
| EoABackbone=ResNet50, Ens/MA=Yes2023.09 | 52.3 | |
| RISE (ERM + Hint + AD + RD)Backbone=ResNet50, Ens/MA=No2023.09 | 52.3 | |
| ERM + Hint + ADBackbone=ResNet50, Ens/MA=No2023.09 | 52.2 | |
| DANNEvaluation Protocol=Fine-tuning (CLIP), Backbone=ViT-B/162024.03 | 52.2 | |
| GENIEBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 52 | |
| ERM + Hint + RDBackbone=ResNet50, Ens/MA=No2023.09 | 51.7 | |
| ERM + Pseudo LabelBackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Pseudo Label2021.11 | 50.5 | |
| ERM + HintBackbone=ResNet50, Ens/MA=No2023.09 | 50.5 | |
| MIROBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 50.4 | |
| CLIP (Teacher)Backbone=ViT B/16, Ens/MA=No, Fine-tuning=true2023.09 | 50.2 | |
| ERMEvaluation Protocol=Fine-tuning (CLIP), Backbone=ViT-B/162024.03 | 50.2 | |
| SWADBackbone=ResNet50, Ens/MA=Yes2023.09 | 50 | |
| MIROBackbone=DeiT, Pre-training source=IN-1K2026.07 | 49.9 | |
| CLIPoodBackbone=DeiT, Pre-training source=IN-1K2026.07 | 49.8 | |
| LPBackbone=DeiT, Pre-training source=IN-1K2026.07 | 49.5 | |
| CLIP + DPLBackbone=CLIP ViT-B16, Test-time batch size=642021.11 | 49.4 | |
| EnsembleBackbone=ResNet50, Ens/MA=Yes2023.09 | 49.2 | |
| CORAL + T3ABackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=T3A2021.11 | 49 | |
| CORAL + Tent*Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Tent, Update target=linear classifier2021.11 | 48.7 | |
| CORALBackbone=CLIP ViT-B16, Test-time batch size=642021.11 | 48.6 | |
| CORAL + Pseudo Label*Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Pseudo Label, Update target=linear classifier2021.11 | 48.6 | |
| Best SOTA competitorBackbone=ResNet50, Ens/MA=No2023.09 | 48.6 | |
| RISE (ERM + Hint + AD + RD)Backbone=ResNet18, Ens/MA=No2023.09 | 48.4 | |
| ERM + T3ABackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=T3A2021.11 | 48.2 | |
| ERM + Hint + ADBackbone=ResNet18, Ens/MA=No2023.09 | 48.2 | |
| ERM + Hint + RDBackbone=ResNet18, Ens/MA=No2023.09 | 47.9 | |
| ERMBackbone=CLIP ViT-B16, Test-time batch size=642021.11 | 47.8 | |
| ERMBackbone=ResNet50, Ens/MA=No2023.09 | 47.2 | |
| VL2VBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 47.2 | |
| ERM + HintBackbone=ResNet18, Ens/MA=No2023.09 | 47 | |
| ERM + Pseudo Label*Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Pseudo Label, Update target=linear classifier2021.11 | 46.9 | |
| RISEBackbone=DeiT, Pre-training source=IN-1K2026.07 | 46.9 | |
| Text-Anchored Information BottleneckBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 46.8 | |
| ERM + Tent*Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Tent, Update target=linear classifier2021.11 | 46.7 | |
| LPBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 46.3 | |
| SAMBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.7 | |
| FADBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.7 | |
| YOGIBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.4 | |
| ADAMWBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.2 | |
| ADABELIEFBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.2 | |
| GAMBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 45.2 | |
| RISEBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 45.1 | |
| SGDBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 44.9 | |
| SWAD* + BatchFormerBackbone=ResNet-182022.03 | 44.8 | |
| CORAL + Pseudo LabelBackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=Pseudo Label2021.11 | 44.5 | |
| Best SoTA competitorBackbone=ResNet18, Ens/MA=No2023.09 | 44.5 | |
| ADAMBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 44.4 | |
| ADAHESSIANBackbone=ResNet-50, Pre-training=ImageNet, Training Iterations=5,000, Evaluation Protocol=DomainBed (Training-domain Validation Set)2026.06 | 44.4 | |
| CLIPoodBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 43.8 | |
| ERMBackbone=ResNet18, Ens/MA=No2023.09 | 43.6 | |
| SWAD*Backbone=ResNet-182022.03 | 42.1 | |
| CORAL + SHOTBackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=SHOT2021.11 | 41.9 | |
| CORAL + SHOT**Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=SHOT, Update target=feature extractor2021.11 | 41.9 | |
| ERM + SHOT**Backbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=SHOT, Update target=feature extractor2021.11 | 40.6 | |
| MIROBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 40.6 | |
| ERM + SHOTBackbone=CLIP ViT-B16, Test-time batch size=64, Test-time adaptation method=SHOT2021.11 | 40.5 | |
| CLIPoodBackbone=Swin Transformer, Pre-training source=IN-21K2026.07 | 40.4 | |
| RISEBackbone=DINOv2, Pre-training source=LVD-142M2026.07 | 40.2 | |
| LPBackbone=EfficientNet, Pre-training source=IN-1K2026.07 | 39.6 | |
| CORAL+GENIEBackbone=ResNet-502026.06 | 36.7 | |
| GENIEBackbone=ResNet-502026.06 | 36 | |
| RISEBackbone=RegNetY-16GF, Pre-training source=IN-12K2026.07 | 35.1 | |
| CLIPEvaluation Protocol=Zero-shot, Backbone=ViT-B/162024.03 | 34.1 | |
| ADAMBackbone=ResNet-502026.06 | 33.5 | |
| CORAL+ADAMBackbone=ResNet-502026.06 | 33.5 | |
| RSC+GENIEBackbone=ResNet-502026.06 | 33.2 | |
| RSC+ADAMBackbone=ResNet-502026.06 | 31.6 | |
| SAMBackbone=ResNet-502026.06 | 26.8 | |
| SGDBackbone=ResNet-502026.06 | 22.8 | |
| CORAL+SGDBackbone=ResNet-502026.06 | 22.8 | |
| RSC+SGDBackbone=ResNet-502026.06 | 17.6 |