Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

Benchmark Model Rank Results
self-supervised-image-classification-on-imagenetFNC (ResNet-50)#77Top 1 Accuracy: 74.4%Top 5 Accuracy: 91.8%Number of Params: 24M
semi-supervised-image-classification-on-imagenet-1-labeled-dataFNC (ResNet-50)#27Top 1 Accuracy: 63.7%Top 5 Accuracy: 85.3%