A simple and effective method for detecting out-of-distribution images in neural networks.
☆547Oct 12, 2021Updated 4 years ago
Alternatives and similar repositories for odin
Users that are interested in odin are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Dec 27, 2018Updated 7 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆356Aug 13, 2019Updated 6 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆577Oct 9, 2021Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆273May 5, 2018Updated 8 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆26Mar 30, 2022Updated 4 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.
- ☆436Aug 28, 2021Updated 4 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- ☆26Jul 13, 2022Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆116Dec 31, 2019Updated 6 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Feb 15, 2021Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 5 years ago
- ☆18Dec 4, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Dec 8, 2019Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Nov 6, 2023Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆200Jun 28, 2017Updated 8 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆57Mar 24, 2022Updated 4 years ago
- ☆47Dec 20, 2020Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆70Mar 13, 2021Updated 5 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆285Oct 19, 2023Updated 2 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆458Oct 9, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 4 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆158Feb 2, 2023Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆869Jul 16, 2022Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 3 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,208Mar 1, 2024Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆100Jun 28, 2021Updated 4 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆1,049Dec 1, 2025Updated 6 months ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 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.
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆46Sep 7, 2021Updated 4 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆65Aug 13, 2023Updated 2 years ago
- Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching☆94Sep 18, 2023Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Jul 16, 2021Updated 4 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 4 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,154Aug 24, 2022Updated 3 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆508Jan 20, 2020Updated 6 years ago