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Image Classification on CIFAR100 (Performance, Efficiency, and Calibration Metrics)

73.81AccuracyCosine (Stable)
9.423626.139342.85559.5707Mar 10, 2026

Evaluation results

MethodLinks
Cosine (Stable)Backbone=ResNet50, Stability=Stable2026.0373.8173.8479.28310.59158
Cosine (Stable)Backbone=ResNet502026.0373.5773.672.97450.59798
FocalBackbone=ResNet50, gamma=2, alpha=0.252026.0373.4973.4272.17950.146850
FocalBackbone=ResNet50, gamma=2, alpha=0.52026.0373.4173.3278.72340.122450
Cosine (Unst.)Backbone=ResNet50, Stability=Unstable2026.0373.473.4972.54130.58918
Cosine (Unst.)Backbone=ResNet502026.0373.2373.3271.75920.58578
FocalBackbone=ResNet50, gamma=3, alpha=0.252026.0373.1173.0881.58750.155450
Label SmoothingBackbone=ResNet50, epsilon=0.12026.0372.6172.4879.82230.146950
Label SmoothingBackbone=ResNet50, epsilon=0.22026.0372.2172.0681.18830.152450
ArcFaceBackbone=ResNet50, m=0.7, s=302026.0371.6671.570.5590.605948.33
EuclideanBackbone=ResNet502026.0370.5570.6297.4320.567925.5
EuclideanBackbone=ResNet502026.0370.4770.5587.7280.430133.67
BaselineBackbone=ResNet50, Loss Function=CE2026.0370.0669.9389.640.106950
BaselineBackbone=ResNet502026.0369.8369.6987.770.107250
Bray-Curtis (Norm.)Backbone=ResNet502026.0365.565.13106.40490.71316
Mahalanobis (Chol.)Backbone=ResNet502026.0362.7462.39138.93170.735317.5
BaselineBackbone=MLP2026.0326.1725.820.850.285250
Bray-Curtis (Norm.)Backbone=MLP2026.0322.621.910.89380.98431
Mahalanobis (Chol.)Backbone=MLP2026.0318.3318.111.08890.035450
Bray-Curtis (Abs.)Backbone=MLP2026.0314.4413.922.12550.531747.6667
Cosine (Unst.)Backbone=MLP2026.0312.3711.860.50640.379940.6667
EuclideanBackbone=MLP2026.0311.912.220.5890.243750