The Combined Anomalous Object Segmentation (CAOS) Benchmark
☆160Feb 2, 2023Updated 3 years ago
Alternatives and similar repositories for anomaly-seg
Users that are interested in anomaly-seg are comparing it to the libraries listed below
Sorting:
- [ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes☆143Aug 31, 2023Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Apr 29, 2021Updated 4 years ago
- [ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation☆38Oct 27, 2022Updated 3 years ago
- Detecting Anomalies in Semantic Segmentation with Prototypes☆25Feb 14, 2022Updated 4 years ago
- ☆48Sep 2, 2021Updated 4 years ago
- Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstac…☆78Jun 10, 2022Updated 3 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆91Apr 11, 2022Updated 3 years ago
- ☆19Dec 4, 2021Updated 4 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆575Oct 9, 2021Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Dec 27, 2018Updated 7 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Nov 24, 2020Updated 5 years ago
- Multilabel Out-of-Distribution Detection☆10Nov 23, 2020Updated 5 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆99Jun 28, 2021Updated 4 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Aug 30, 2024Updated last year
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆14Feb 15, 2025Updated last year
- A simple and effective method for single-class classification of images☆161Nov 29, 2021Updated 4 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Nov 6, 2020Updated 5 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆542Oct 12, 2021Updated 4 years ago
- Official implementation of paper "DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition"☆38Apr 25, 2024Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 3 years ago
- Code for FPI submission to MOOD 2020☆16Aug 9, 2021Updated 4 years ago
- Benchmark of detection methods for anomalies and obstacles in traffic images.☆20Nov 24, 2022Updated 3 years ago
- Prior Generating Networks for Anomaly Detection☆14Nov 6, 2020Updated 5 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Oct 19, 2023Updated 2 years ago
- ☆428Aug 28, 2021Updated 4 years ago
- Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)☆71Jan 10, 2025Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆351Aug 13, 2019Updated 6 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- [ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation☆61Apr 28, 2024Updated last year
- ☆91Nov 15, 2024Updated last year
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Jul 25, 2024Updated last year
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆280Jul 23, 2021Updated 4 years ago
- [ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation☆132Apr 6, 2024Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆458Oct 9, 2022Updated 3 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆64Jul 25, 2024Updated last year
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33May 13, 2023Updated 2 years ago
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆33Mar 28, 2023Updated 2 years ago
- Detecting the Unexpected via Image Resynthesis☆56Feb 17, 2021Updated 5 years ago