Wide-ResNet-28-10

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Image ClassificationonSVHN
Percentage correct· 2022-09-29
98.15
SOTA
Automatic Data Augmentation via Invariance-Constrained Learning arXiv:2209.15031
Image ClassificationonCIFAR-10
Percentage correct· 2022-09-29
97.85
best: 99.5 (ViT-H/14)
Automatic Data Augmentation via Invariance-Constrained Learning arXiv:2209.15031
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2022-09-29
84.89
best: 96.08 (EffNet-L2 (SAM))
Automatic Data Augmentation via Invariance-Constrained Learning arXiv:2209.15031