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Elsa: Energy-based Learning forSemi-supervised Anomaly Detection Official PyTorch implementation of "Elsa: Energy-based Learning forSemi-supervised Anomaly Detection" (BMVC 2021) by Sungwon Han, Hyeonho Song, Seungeon Lee, Sungwon Park, Meeyoung Cha.
E3Outlier: Effective End-to-end Unsupervised Outlier Detection
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
The main features of podgorskiy/gpnd are: Image Classification.
Projects with overlapping indexed features include: alinlab/csi — CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020). archon159/elsa — Elsa: Energy-based Learning forSemi-supervised Anomaly Detection Official PyTorch implementation of "Elsa:… demonzyj56/e3outlier — E3Outlier: Effective End-to-end Unsupervised Outlier Detection. hendrycks/ss-ood — Self-Supervised Learning for OOD Detection (NeurIPS 2019). jacenkow/mmbt — Code for the paper:. khalooei/alocc-cvpr2018 — Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC).
