OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

Benchmark Model Rank Results
anomaly-detection-on-hyper-kvasir-datasetOCGAN–AUC: 0.813
anomaly-detection-on-one-class-cifar-10OCGAN–AUROC: 66.83