SRM : A Style-based Recalibration Module for Convolutional Neural Networks
Open paper
Benchmark
Model
Rank
Results
image-classification-on-cifar-10
SRM-ResNet-56
#167
Percentage correct: 95.05
Top-1 Accuracy: 95.05
image-classification-on-imagenet
SRM-ResNet-101
#870
Top 1 Accuracy: 78.47%
Rank counts only results with a code link.