Cover Image

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doorenbos, Lars, Sznitman, Raphael, Márquez-Neila, Pablo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)

Non-Linear Outlier Synthesis for Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
by: Wu, Fei, et al.
Published: (2024)

Targeted Visual Prompting for Medical Visual Question Answering
by: Tascon-Morales, Sergio, et al.
Published: (2024)

Hyperbolic Random Forests
by: Doorenbos, Lars, et al.
Published: (2023)

Masked Image Modelling for retinal OCT understanding
by: Pissas, Theodoros, et al.
Published: (2024)

Inferring geometry and material properties from Mueller matrices with machine learning
by: Doorenbos, Lars, et al.
Published: (2025)

SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
by: Tejero, Javier Gamazo, et al.
Published: (2025)

BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
by: Wang, Yuanchao, et al.
Published: (2025)

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)

Out-of-Distribution Detection with Relative Angles
by: Demirel, Berker, et al.
Published: (2024)

Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)

Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024)

Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, et al.
Published: (2025)

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

Vendi Novelty Scores for Out-of-Distribution Detection
by: Pasarkar, Amey P., et al.
Published: (2026)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
by: Wallin, Erik, et al.
Published: (2025)

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
by: Yang, Ying, et al.
Published: (2024)

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

Energy-based Hopfield Boosting for Out-of-Distribution Detection
by: Hofmann, Claus, et al.
Published: (2024)

Are We Ready for Out-of-Distribution Detection in Digital Pathology?
by: Oh, Ji-Hun, et al.
Published: (2024)

NODI: Out-Of-Distribution Detection with Noise from Diffusion
by: Zhou, Jingqiu, et al.
Published: (2024)

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
by: Suhail, Pirzada, et al.
Published: (2025)

Hypercone Assisted Contour Generation for Out-of-Distribution Detection
by: Vapsi, Annita, et al.
Published: (2025)

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
by: Xu, Haonan, et al.
Published: (2026)

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
by: Feng, Chuanwen, et al.
Published: (2024)

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
by: Henriksson, Jens, et al.
Published: (2024)

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

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
by: Nguyen, Quang-Huy, et al.
Published: (2024)

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
by: LeVine, Will, et al.
Published: (2024)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
by: Yang, Yifeng, et al.
Published: (2025)

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
by: Chhetri, Anju, et al.
Published: (2025)

Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
by: Ding, Yifan, et al.
Published: (2025)

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection
by: Orglmeister, Conrad, et al.
Published: (2025)

Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)

Unsupervised Video Summarization via Iterative Training and Simplified GAN
by: Li, Hanqing, et al.
Published: (2023)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
by: Wu, Yingwen, et al.
Published: (2024)

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

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
by: Mirzaei, Hossein, et al.
Published: (2024)