What Makes for Good Views for Contrastive Learning?

Benchmark Model Rank Results
contrastive-learning-on-imagenet-1kResNet50#2ImageNet Top-1 Accuracy: 73
self-supervised-image-classification-on-imagenetInfoMin (ResNeXt-152)#69Top 1 Accuracy: 75.2%Number of Params: 120M
self-supervised-image-classification-on-imagenetInfoMin (ResNet-50)#85Top 1 Accuracy: 73.0%Top 5 Accuracy: 91.1%Number of Params: 24M