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Classification on ImageNet-9 Backgrounds Challenge

98.4Accuracy (Original IN-9)PDiscoFormer
95.17696.01396.8597.687Mar 24, 2023Aug 5, 2023Dec 18, 2023May 1, 2024Sep 13, 2024Jan 26, 2025Jun 10, 2025

Evaluation results

MethodLinks
PDiscoFormerCategory=Late Masking, Arch.=ViT-B, K=12025.0698.4—93.988.65.3
DinoV2Category=Self-Supervised Pre-training, Arch.=ViT-L, Backbone Status=Frozen, Model capacity=Larger-capacity2025.0698.3—95.590.25.3
DinoV2Category=Self-Supervised Pre-training, Arch.=ViT-B, Backbone Status=Frozen2025.0698.1—93.187.16
ERMCategory=Supervised Training, Arch.=ViT-L, Model capacity=Larger-capacity2025.0698—9389.43.6
SWAG + LLECategory=Self-Sup. + De-biasing, Arch.=ViT-B2025.0698—92.487.94.5
ERMCategory=Supervised Training, Arch.=ViT-B2025.0697.9—92.487.94.6
iFAMCategory=Early Masking, Arch.=ViT-B, K=12025.0697.5—93.591.12.4
MAE + LLECategory=Self-Sup. + De-biasing, Arch.=ViT-B2025.0697.4—92.588.34.2
MAE + LLECategory=Self-Sup. + De-biasing, Arch.=ViT-L, Model capacity=Larger-capacity2025.0697.4—93.589.83.6
ERMCategory=Supervised Training, Arch.=R-152, Model capacity=Larger-capacity2025.0697.3—92.187.44.7
ERMCategory=Supervised Training, Arch.=R-502025.0696.4—9084.65.4
AENIBBackbone=ViT-B/162023.0396.121.188.981.87.1
Baseline (Cross-Entropy)Backbone=ViT-B/162023.039624.287.480.17.3
MaskTuneCategory=Specialized De-biasing, Arch.=R-502025.0695.6—91.178.612.5
AENIBBackbone=ViT-S/162023.0395.517.888.380.57.8
LLECategory=Specialized De-biasing, Arch.=R-502025.0695.5—88.383.44.9
Baseline (Cross-Entropy)Backbone=ViT-S/162023.0395.320.386.377.88.5