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Binary Classification on Waterbirds (OOD)

98.9AccuracyiFAM (K=4)
42.7457.3271.986.48Sep 26, 2024Jan 6, 2025Apr 18, 2025Jul 30, 2025Nov 9, 2025Feb 19, 2026Jun 2, 2026

Evaluation results

MethodLinks
iFAM (K=4)Backbone=ViT-B (86M), Requires Group Labels=false2026.0698.9
iFAM (K=8)Backbone=ViT-B (86M), Requires Group Labels=false2026.0698.8
A^2_LR cross-modelBackbone (attn × emb)=ViT-S × ViT-G, Requires Group Labels=false2026.0698.2
DFRBackbone=ViT-G (1.1B), Requires Group Labels=true2026.0698.1
LR (full image)Backbone=ViT-G (1.1B), Requires Group Labels=false2026.0697.8
DFRBackbone=ViT-B (86M), Requires Group Labels=true2026.0695.5
A^2_LRBackbone (attn × emb)=ViT-S × ViT-S, Requires Group Labels=false2026.0693
DFRBackbone=ViT-S (21M), Requires Group Labels=true2026.0692.4
DFR† + A^2Backbone (attn × emb)=ViT-S × ViT-S, Requires Group Labels=true2026.0691.9
LR (full image)Backbone=ViT-S (21M), Requires Group Labels=false2026.0688.7
TTRBackbone=OpenCLIP ViT-L-14, Requires Group Labels=false2026.0687.2
A^2_ZSBackbone (attn × emb)=ViT-S × OpenCLIP ViT-L-14, Requires Group Labels=false2026.0680.3
OpenCLIP ZS (full image)Backbone=ViT-L-14, Requires Group Labels=false2026.0673.5
CONBIASBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=CONBIAS2024.0969.3
RandAugBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=RandAug2024.0960.2
ALIABackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=ALIA2024.0948.2
CutMixBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=CutMix2024.0945.6
BaselineBackbone=ResNet-50, Pre-trained=ImageNet2024.0944.9