Computer Vision implementations and experiments in PyTorch Papers reviewed so far Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. Unsupervised Feature Learning via Non-Parametric Instance Discrimination by Zhirong Wu, Yuanjun Xiong, Stella X. Yu, and Dahua Lin, 2018. Accuracies obtanied (Top-1) Model Type CIFAR10 CIFAR100 Vanilla CNN Supervised 60.90% 37.98% ResNet-18 Supervised 90.10% 58.65% ResNet-32 Supervised 90.89% -- Instance Disc. Parametric Classifier Unsupervised + KNN 60.28% -- Instance Disc. Non-parametric Classifier Unsupervised + KNN 77.46% -- Instance Disc. Non-parametric Classifier (NCE) Unsupervised + KNN 72.12% --