Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)
☆116Jul 25, 2024Updated last year
Alternatives and similar repositories for Mean-Shifted-Anomaly-Detection
Users that are interested in Mean-Shifted-Anomaly-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆96Jul 25, 2024Updated last year
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆69Oct 29, 2025Updated 6 months ago
- ☆91Nov 15, 2024Updated last year
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆285Oct 19, 2023Updated 2 years ago
- ☆162Apr 20, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- unoffical and work in progress PyTorch implementation of CutPaste☆262May 7, 2024Updated last year
- ☆56Apr 19, 2021Updated 5 years ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Nov 10, 2024Updated last year
- [IEEE TKDE] DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection☆16Apr 1, 2026Updated 3 weeks ago
- ☆277Jan 2, 2023Updated 3 years ago
- MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…☆513Aug 1, 2022Updated 3 years ago
- Implementation of the architecture of FastFlow (Jiawei Yu et al.) https://arxiv.org/abs/2111.07677☆44Jun 27, 2025Updated 10 months ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆37May 24, 2023Updated 2 years ago
- ☆117Jul 14, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- ☆23Jul 17, 2022Updated 3 years ago
- ☆142Apr 28, 2022Updated 4 years ago
- This is the implementation of our paper in ECCV 2020.☆66Jun 8, 2021Updated 4 years ago
- This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”…☆474Nov 29, 2023Updated 2 years ago
- PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"☆251Dec 27, 2022Updated 3 years ago
- Anomaly detection for images☆13Jan 14, 2020Updated 6 years ago
- A PyTorch implementation of the Deep SVDD anomaly detection method☆781Dec 8, 2022Updated 3 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆94Apr 11, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆84Mar 5, 2025Updated last year
- Code for the Medical Out of Distribution challenge 2020☆28Oct 6, 2020Updated 5 years ago
- Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection☆29Aug 15, 2024Updated last year
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆84Feb 28, 2023Updated 3 years ago
- ☆255Oct 19, 2020Updated 5 years ago
- Official implementation of "Learning Not to Reconstruct" (BMVC 2021)☆19Dec 29, 2022Updated 3 years ago
- An Attribute-based Method for Video Anomaly Detection (TMLR 2025)☆106Feb 15, 2025Updated last year
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆90Jul 13, 2024Updated last year
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆89Oct 29, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆203Jun 30, 2024Updated last year
- Benchmark of detection methods for anomalies and obstacles in traffic images.☆20Nov 24, 2022Updated 3 years ago
- Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆27Aug 6, 2021Updated 4 years ago
- Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'☆10Dec 12, 2021Updated 4 years ago
- [KBS 2022] Informative knowledge distillation for image anomaly segmentation☆23Jun 11, 2022Updated 3 years ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Oct 25, 2023Updated 2 years ago
- Repository for the Explainable Deep One-Class Classification paper☆237Aug 30, 2023Updated 2 years ago