Cover Image

A Unified Approach Towards Active Learning and Out-of-Distribution Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schmidt, Sebastian, Schenk, Leonard, Schwinn, Leo, Günnemann, Stephan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Out-of-Distribution Filtering and Data Discovery Active Learning
by: Schmidt, Sebastian, et al.
Published: (2025)

Unexplored flaws in multiple-choice VQA evaluations
by: Rosenthal, Fabio, et al.
Published: (2025)

A Machine Learning Perspective on Automated Driving Corner Cases
by: Schmidt, Sebastian, et al.
Published: (2025)

Scalable Object Detection in the Car Interior With Vision Foundation Models
by: Schmidt, Sebastian, et al.
Published: (2025)

Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023)

Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
by: Schmidt, Sebastian, et al.
Published: (2025)

Amplified Patch-Level Differential Privacy for Free via Random Cropping
by: Durmaz, Kaan, et al.
Published: (2026)

Towards Few-shot Out-of-Distribution Detection
by: Dong, Jiuqing, et al.
Published: (2023)

Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
by: Novello, Paul, et al.
Published: (2024)

Learning Transferable Negative Prompts for Out-of-Distribution Detection
by: Li, Tianqi, et al.
Published: (2024)

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)

Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers
by: Boehm, Lukas, et al.
Published: (2025)

Relative Energy Learning for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2025)

Toward a Realistic Benchmark for Out-of-Distribution Detection
by: Recalcati, Pietro, et al.
Published: (2024)

TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning
by: Li, Jinglun, et al.
Published: (2024)

Component-Based Out-of-Distribution Detection
by: Liu, Wenrui, et al.
Published: (2026)

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
by: Liu, Kai, et al.
Published: (2024)

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
by: Liang, Jiachen, et al.
Published: (2025)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
by: Miao, Wenjun, et al.
Published: (2024)

Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
by: Xing, Meng, et al.
Published: (2022)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)

Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)

Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
by: Fang, Xiang, et al.
Published: (2024)

Adaptive Label Smoothing for Out-of-Distribution Detection
by: Xu, Mingle, et al.
Published: (2024)

Out-of-Distribution Detection with Prototypical Outlier Proxy
by: Gong, Mingrong, et al.
Published: (2024)

GROOD: GRadient-Aware Out-of-Distribution Detection
by: ElAraby, Mostafa, et al.
Published: (2023)

Multi-Method Ensemble for Out-of-Distribution Detection
by: Rakotoarivony, Lucas
Published: (2025)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
by: Nguyen, Bac, et al.
Published: (2024)

Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure
by: Wahd, Assefa Seyoum
Published: (2024)

FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
by: Aathreya, Saandeep, et al.
Published: (2024)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
by: Lu, Xinhua, et al.
Published: (2025)

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
by: Long, Xingming, et al.
Published: (2024)

Distributional Uncertainty for Out-of-Distribution Detection
by: Kim, JinYoung, et al.
Published: (2025)

A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
by: Mannix, Evelyn, et al.
Published: (2023)

PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)

Prototype-based Optimal Transport for Out-of-Distribution Detection
by: Ke, Ao, et al.
Published: (2024)

Out-of-Distribution Detection using Neural Activation Prior
by: Wan, Weilin, et al.
Published: (2024)

Margin-bounded Confidence Scores for Out-of-Distribution Detection
by: Tamang, Lakpa D., et al.
Published: (2024)

Out-of-Distribution Detection Based on Total Variation Estimation
by: Ma, Dabiao, et al.
Published: (2026)