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ResearchFormerly WizWand

Image Classification on reduced-scale ImageNet-1K (test)

66.66Top-1 AccuracyE-RIDER
63.269664.149865.0365.9102Feb 24, 2026
Updated 4mo ago

Evaluation results

MethodLinks
E-RIDERReference Mean=0.20, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.66
E-RIDERReference Mean=0.05, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.65
E-RIDERReference Mean=0.20, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.64
E-RIDERReference Mean=0.05, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.62
E-RIDERReference Mean=0.20, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.56
E-RIDERReference Mean=0.30, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.51
E-RIDERReference Mean=0.05, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.48
E-RIDERReference Mean=0.05, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.41
E-RIDERReference Mean=0.30, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.37
E-RIDERReference Mean=0.30, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.35
E-RIDERReference Mean=0.40, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.35
E-RIDERReference Mean=0.40, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.34
E-RIDERReference Mean=0.20, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.32
E-RIDERReference Mean=0.30, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.21
E-RIDERReference Mean=0.40, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.19
E-RIDERReference Mean=0.40, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0266.13
AGADReference Mean=0.30, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.09
AGADReference Mean=0.40, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.07
AGADReference Mean=0.20, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.06
AGADReference Mean=0.20, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.05
AGADReference Mean=0.30, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.05
AGADReference Mean=0.40, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0264.02
AGADReference Mean=0.05, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.82
AGADReference Mean=0.20, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.77
AGADReference Mean=0.30, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.75
AGADReference Mean=0.30, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.74
AGADReference Mean=0.05, Reference Std=1.0, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.67
AGADReference Mean=0.40, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.66
AGADReference Mean=0.40, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.64
AGADReference Mean=0.20, Reference Std=0.05, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.61
AGADReference Mean=0.05, Reference Std=0.7, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.6
AGADReference Mean=0.05, Reference Std=0.4, Backbone=VGG-11-BN, Evaluation Protocol=Fine-tuned analog model2026.0263.4