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ResearchFormerly WizWand

Error Detection on Food101

99.92AuROCANTS
50.98863.691576.39589.0985Sep 4, 2025Sep 18, 2025Oct 2, 2025Oct 16, 2025Oct 30, 2025Nov 13, 2025Nov 27, 2025
Updated 7mo ago

Evaluation results

MethodLinks
ANTSZero-shot=true2025.0999.92—5
NegLabelZero-shot=true2025.0999.9—40
Ours-DBackbone=SigLIP ViT-B/16, Covariance=Diagonal2025.1195.0699.3728.13
OursBackbone=SigLIP ViT-B/162025.1194.9699.3524.5
OursBackbone=CLIP ViT-B/162025.1194.0298.9427.08
Ours-DBackbone=CLIP ViT-B/16, Covariance=Diagonal2025.1193.498.8229.03
OursBackbone=CLIP ViT-B/322025.1192.5898.0833.98
Ours-DBackbone=CLIP ViT-B/32, Covariance=Diagonal2025.1192.0197.9337.04
MaxSoftmaxBackbone=CLIP ViT-B/162025.1191.4398.9249.98
MaxSoftmaxBackbone=SigLIP ViT-B/162025.1191.4398.9249.98
TempScalingBackbone=SigLIP ViT-B/162025.1191.4398.9249.71
EntropyBackbone=CLIP ViT-B/162025.1190.7998.8454.79
EntropyBackbone=SigLIP ViT-B/162025.1190.7998.8454.79
TrustVLM*Backbone=SigLIP ViT-B/16, Extra features=DinoV22025.1190.0898.553.15
TrustVLM*Backbone=CLIP ViT-B/16, Extra features=DinoV22025.1189.3798.1956.04
TempScalingBackbone=CLIP ViT-B/162025.1189.2198.1254.61
PCME++Backbone=CLIP ViT-B/322025.1187.697.8453.44
TempScalingBackbone=CLIP ViT-B/322025.1187.0696.762.31
MaxSoftmaxBackbone=CLIP ViT-B/322025.1187.0596.762.96
BayesVLMBackbone=CLIP ViT-B/322025.1186.1296.3264.67
EntropyBackbone=CLIP ViT-B/322025.1185.5696.3367.26
ZeroBackbone=SigLIP ViT-B/162025.1185.2397.9655.76
ZeroBackbone=CLIP ViT-B/162025.1185.1397.8456.62
BayesVLMBackbone=SigLIP ViT-B/162025.1178.1796.5874.28
MaxCosineBackbone=CLIP ViT-B/162025.1177.6196.375.11
MaxCosineBackbone=SigLIP ViT-B/162025.1177.6196.375.11
ProLIPBackbone=CLIP ViT-B/162025.1177.0596.8176.04
MaxCosineBackbone=CLIP ViT-B/322025.1174.692.4281.65
ProbVLMBackbone=CLIP ViT-B/322025.1152.8782.9995.16