SRM-ResNet-56

Reported on 2 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 Vision2 results

Image ClassificationonCIFAR-10
Top-1 Accuracy· 2019-03-26
95.05
best: 99.12 (Astroformer)
SOTA
SRM : A Style-based Recalibration Module for Convolutional Neural Networks arXiv:1903.10829
Image ClassificationonCIFAR-10
Percentage correct· 2019-03-26
95.05
best: 99.5 (ViT-H/14)
SRM : A Style-based Recalibration Module for Convolutional Neural Networks arXiv:1903.10829