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Image Classification on AwA2 (test)

93.11AccuracyCEM
80.515683.785387.05590.3247Jun 3, 2026
Updated 4mo ago

Evaluation results

MethodLinks
CEMBackbone=ResNet2026.0693.1164.62.278
HybridCBMBackbone=ResNet2026.0692.2569.92.803
FoCA CBMBackbone=ResNet2026.0692.1357.12.057
LaBoBackbone=ResNet2026.0691.5369.92.803
SCBMBackbone=ResNet2026.0690.461.52.096
Vanilla CBMBackbone=ResNet2026.0690.3662.82.137
ProbCBMBackbone=ResNet2026.0689.866.12.373
MLPCBMBackbone=ResNet2026.0689.6563.72.12
CF-CBMBackbone=ResNet2026.0689.1969.92.803
FoCA CBM-NBackbone=ResNet2026.0688.2665.92.273
LFCBMBackbone=ResNet2026.0683.0369.92.803
Posthoc CBMBackbone=ResNet2026.068177.32.674