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demonzyj56 avatar

demonzyj56/E3Outlier

0
View on GitHub↗
45 stars·12 forks·Python·MIT·8 viewspapers.nips.cc/paper/8830-effective-end-to-end-unsupervised-outlier-detection-via-inlier-priority-of-discriminative-network↗

E3Outlier

E3Outlier: Effective End-to-end Unsupervised Outlier Detection

Features

  • Image Classification - Unsupervised outlier detection via inlier priority of discriminative networks.

Star history

Star history chart for demonzyj56/e3outlierStar history chart for demonzyj56/e3outlier

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with E3Outlier

These projects share indexed features with E3Outlier. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • archon159/elsaarchon159 avatar

    archon159/elsa

    11View on GitHub↗

    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.

    Python
    View on GitHub↗11
  • hendrycks/ss-oodhendrycks avatar

    hendrycks/ss-ood

    269View on GitHub↗

    Self-Supervised Learning for OOD Detection (NeurIPS 2019)

    Python
    View on GitHub↗269
  • jacenkow/mmbtJ

    jacenkow/mmbt

    0View on GitHub↗

    Code for the paper:

    View on GitHub↗0
  • alinlab/csialinlab avatar

    alinlab/CSI

    285View on GitHub↗

    CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

    Python
    View on GitHub↗285
Compare all 10 related projects→

Frequently asked questions

What does demonzyj56/e3outlier do?

E3Outlier: Effective End-to-end Unsupervised Outlier Detection

What are the main features of demonzyj56/e3outlier?

The main features of demonzyj56/e3outlier are: Image Classification.

Which projects share features with demonzyj56/e3outlier?

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:… 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). orippler/gaussian-ad-mvtec — Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly…