SOTAVerified

Out of Distribution (OOD) Detection

Out of Distribution (OOD) Detection is the task of detecting instances that do not belong to the distribution the classifier has been trained on. OOD data is often referred to as "unseen" data, as the model has not encountered it during training.

OOD detection is typically performed by training a model to distinguish between in-distribution (ID) data, which the model has seen during training, and OOD data, which it has not seen. This can be done using a variety of techniques, such as training a separate OOD detector, or modifying the model's architecture or loss function to make it more sensitive to OOD data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 629 papers

TitleStatusHype
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution DetectionCode1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasksCode1
Negative Label Guided OOD Detection with Pretrained Vision-Language ModelsCode1
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown ExamplesCode1
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionCode1
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy PredictionCode1
Deep Anomaly Detection with Outlier ExposureCode1
Detection of out-of-distribution samples using binary neuron activation patternsCode1
On the Impact of Spurious Correlation for Out-of-distribution DetectionCode1
On the Out-of-distribution Generalization of Probabilistic Image ModellingCode1
Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile RobotCode1
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic AssemblyCode1
Beyond AUROC & co. for evaluating out-of-distribution detection performanceCode1
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution DetectionCode1
Out of Distribution Detection via Neural Network AnchoringCode1
Out-of-Distribution Detection with a Single Unconditional Diffusion ModelCode1
Block Selection Method for Using Feature Norm in Out-of-distribution DetectionCode1
Out-of-Distribution Detection with Semantic Mismatch under MaskingCode1
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized EmbeddingsCode1
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-CountsCode1
Certifiably Adversarially Robust Detection of Out-of-Distribution DataCode1
EAT: Towards Long-Tailed Out-of-Distribution DetectionCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Reliability in Semantic Segmentation: Can We Use Synthetic Data?Code1
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationCode1
Show:102550
← PrevPage 5 of 26Next →

No leaderboard results yet.