Parametric Contrastive Learning

Open paper
Benchmark Model Rank Results
image-classification-on-imagenetResNet-200#583Top 1 Accuracy: 81.8%
image-classification-on-imagenetResNet-152#626Top 1 Accuracy: 81.3%
image-classification-on-imagenetResNet-101#647Top 1 Accuracy: 80.9%
image-classification-on-inaturalist-2018PaCo(ResNet-152)#25Top-1 Accuracy: 75.2%
long-tail-learning-on-cifar-10-lt-r-10PCL#11Error Rate: 9.14
long-tail-learning-on-cifar-100-lt-r-100PCL#24Error Rate: 49.10
long-tail-learning-on-imagenet-ltPaCo(ResNeXt101-32x4d)#14Top-1 Accuracy: 60.0
long-tail-learning-on-imagenet-ltPaCo(ResNeXt-50)#21Top-1 Accuracy: 58.2
long-tail-learning-on-inaturalist-2018PaCo(ResNet-152)#13Top-1 Accuracy: 75.2%
long-tail-learning-on-places-ltPaCo#14Top-1 Accuracy: 41.2

Rank counts only results with a code link.