conftrace_

out-of-distribution detection

617 papers

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Also known as

OODD OOD DETECTION

Co-occurring keywords

uncertainty quantification (1393) distribution shift (722) uncertainty estimation (648) anomaly detection (747) neural network (6616) ood detection (45) generative model (2892) representation learning (6206) domain generalization (1522) contrastive learning (4032)

Papers

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Large-Scale Open-Set Classification Protocols for ImageNet WACV 2023
Out-of-Distribution Detection With Reconstruction Error and Typicality-Based Penalty WACV 2023
Out-of-Distribution Detection via Frequency-Regularized Generative Models WACV 2023
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments WACV 2023
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation WACV 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023
No Shifted Augmentations (NSA): Compact Distributions for Robust Self-Supervised Anomaly Detection WACV 2023
Task Agnostic and Post-Hoc Unseen Distribution Detection WACV 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation ICML 2023
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations IJCAI 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations IJCAI 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection ICCV 2023
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge ICCV 2023
Anomaly Detection Under Distribution Shift ICCV 2023
Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One ICCV 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion ICCV 2023
DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models ICCV 2023
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection ICCV 2023
Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects ICCV 2023
Understanding the Feature Norm for Out-of-Distribution Detection ICCV 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss ICCV 2023