Metrics for out-of-distribution (OOD) detection performance evaluation
☆51Jan 13, 2025Updated last year
Alternatives and similar repositories for ood-metrics
Users that are interested in ood-metrics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆26Jul 13, 2022Updated 3 years ago
- ☆438Aug 28, 2021Updated 4 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Jan 14, 2022Updated 4 years ago
- ☆46Sep 22, 2021Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆116Dec 31, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆24Mar 21, 2017Updated 9 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- [CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition☆31Apr 19, 2023Updated 3 years ago
- Benchmark of detection methods for anomalies and obstacles in traffic images.☆27Aug 24, 2023Updated 2 years ago
- Code for "Multi-Object Discovery by Low-Dimensional Object Motion", ICCV 2023☆12Dec 4, 2023Updated 2 years ago
- ☆16May 25, 2022Updated 4 years ago
- Code for CVPR 2023 Highlight paper "Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection"☆24Feb 21, 2024Updated 2 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- ☆15Dec 19, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Dec 8, 2019Updated 6 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆71Apr 15, 2025Updated last year
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 6 years ago
- Development and evaluation of different approaches for fibre tracking of diffusion weighted MRI data.☆10May 9, 2022Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 3 years ago
- LSTC: Boosting Atomic Action Detection with Long-Short-Term Context☆10Sep 1, 2022Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 4 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- ☆11Jul 1, 2021Updated 5 years ago
- Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical …☆16Feb 17, 2022Updated 4 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 7 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 3 years ago
- Un-offical PyTorch Implementation of "Class-Balanced Distillation for Long-Tailed Visual Recognition" paper.☆17Oct 31, 2021Updated 4 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- Energy-based Out-of-distribution Detection☆17Dec 23, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆15Dec 13, 2022Updated 3 years ago
- Code for ComEx [CVPR 2022]☆12Dec 5, 2022Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- ☆19Jan 13, 2021Updated 5 years ago
- Code for https://arxiv.org/abs/1811.00145☆12Feb 13, 2021Updated 5 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆357Aug 13, 2019Updated 6 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Dec 20, 2024Updated last year