outlier exposure

FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning WACV 2026 Energy-based Hopfield Boosting for Out-of-Distribution Detection NeurIPS 2024 Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection ICML 2024 Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining WACV 2024 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NeurIPS 2023 OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023 Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning Interspeech 2023 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023 The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition ICLR 2023 Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation WACV 2023 Latent Outlier Exposure for Anomaly Detection with Contaminated Data ICML 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 Exploring the Limits of Out-of-Distribution Detection NeurIPS 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021 Deep Anomaly Detection with Outlier Exposure ICLR 2019