Outlier Exposure with Confidence Control for Out-of-Distribution Detection
☆71Mar 13, 2021Updated 4 years ago
Alternatives and similar repositories for OOD-detection-using-OECC
Users that are interested in OOD-detection-using-OECC are comparing it to the libraries listed below
Sorting:
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆575Oct 9, 2021Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275May 5, 2018Updated 7 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆351Aug 13, 2019Updated 6 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Apr 29, 2021Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Dec 27, 2018Updated 7 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 3 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- A simple and effective method for detecting out-of-distribution images in neural networks.☆542Oct 12, 2021Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated this week
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Oct 19, 2023Updated 2 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Jan 13, 2021Updated 5 years ago
- ☆14Jul 17, 2025Updated 7 months ago
- A style-transfer project using CycleGAN to render photos in the style of Studio Ghibli animations.☆11Feb 20, 2019Updated 7 years ago
- ACM-MM2019☆28Oct 10, 2019Updated 6 years ago
- https://nv-tlabs.github.io/semanticGAN/☆13Oct 23, 2023Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75May 1, 2023Updated 2 years ago
- ☆26Jul 13, 2022Updated 3 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Jul 13, 2022Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆12Jul 18, 2018Updated 7 years ago
- Background resampling for out-of-distribution detection☆13Mar 27, 2020Updated 5 years ago
- sketch + style = paints☆10Jun 20, 2019Updated 6 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 3 years ago
- ☆428Aug 28, 2021Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Jun 25, 2020Updated 5 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Jul 5, 2022Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆139Jul 16, 2021Updated 4 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Mar 20, 2021Updated 4 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Simple face alignment library by using face_recognition and opencv☆16Mar 13, 2019Updated 6 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Jul 5, 2022Updated 3 years ago
- detecting pedestrians using YOLOv3 (supporting images and videos)☆15Aug 20, 2018Updated 7 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 3 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆160Feb 2, 2023Updated 3 years ago
- Multi-class Data Description for Out-of-distribution Detection☆21Apr 7, 2021Updated 4 years ago
- Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.☆24Mar 15, 2019Updated 6 years ago
- Implementation of EBGAN in pytorch☆17Apr 3, 2017Updated 8 years ago
- GitHub "AI-Brain-of-Brains" created from (11,400+) hand picked GitHub Repos, Providing advanced search capability for Repos with specific…☆23Oct 4, 2018Updated 7 years ago