Mahalanobis++: Improving OOD Detection via Feature Normalization
Fuente:
arXiv
Saved in:
| Main Authors: | Mueller, Maximilian, Hein, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)
by: Mueller, Maximilian, et al.
Published: (2024)
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
by: Mueller, Maximilian, et al.
Published: (2024)
by: Mueller, Maximilian, et al.
Published: (2024)
A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025)
by: Janiak, Denis, et al.
Published: (2025)
Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies
by: Graf, Olga, et al.
Published: (2026)
by: Graf, Olga, et al.
Published: (2026)
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
by: Zhang, Yukai, et al.
Published: (2024)
by: Zhang, Yukai, et al.
Published: (2024)
$Δ\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
by: Augustin, Maximilian, et al.
Published: (2025)
by: Augustin, Maximilian, et al.
Published: (2025)
Comprehensive OOD Detection Improvements
by: Lakkapragada, Anish, et al.
Published: (2024)
by: Lakkapragada, Anish, et al.
Published: (2024)
Detecting OOD Samples via Optimal Transport Scoring Function
by: Gao, Heng, et al.
Published: (2025)
by: Gao, Heng, et al.
Published: (2025)
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection
by: Anthony, Harry, et al.
Published: (2024)
by: Anthony, Harry, et al.
Published: (2024)
Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
by: Peng, Shuman, et al.
Published: (2024)
by: Peng, Shuman, et al.
Published: (2024)
How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
General-Purpose Multi-Modal OOD Detection Framework
by: Duong, Viet, et al.
Published: (2023)
by: Duong, Viet, et al.
Published: (2023)
GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility
by: Abrahao, Bruno
Published: (2026)
by: Abrahao, Bruno
Published: (2026)
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
by: Yang, Puning, et al.
Published: (2023)
by: Yang, Puning, et al.
Published: (2023)
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
by: Augustin, Maximilian, et al.
Published: (2023)
by: Augustin, Maximilian, et al.
Published: (2023)
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
by: Jiang, Xue, et al.
Published: (2024)
by: Jiang, Xue, et al.
Published: (2024)
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
by: Behrendt, Finn, et al.
Published: (2024)
by: Behrendt, Finn, et al.
Published: (2024)
Visual Memory Injection Attacks for Multi-Turn Conversations
by: Schlarmann, Christian, et al.
Published: (2026)
by: Schlarmann, Christian, et al.
Published: (2026)
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
by: Wang, Yuanchao, et al.
Published: (2025)
by: Wang, Yuanchao, et al.
Published: (2025)
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
by: Ansari, Amirhossein, et al.
Published: (2025)
by: Ansari, Amirhossein, et al.
Published: (2025)
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
by: Zhang, Jingyang, et al.
Published: (2023)
by: Zhang, Jingyang, et al.
Published: (2023)
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
by: Lee, Kyung-hwan, et al.
Published: (2024)
by: Lee, Kyung-hwan, et al.
Published: (2024)
Confounder-Free Continual Learning via Recursive Feature Normalization
by: Shah, Yash, et al.
Published: (2025)
by: Shah, Yash, et al.
Published: (2025)
FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens
by: Schlarmann, Christian, et al.
Published: (2025)
by: Schlarmann, Christian, et al.
Published: (2025)
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)
by: Singhal, Rishi, et al.
Published: (2024)
Scalable Ensemble Diversification for OOD Generalization and Detection
by: Rubinstein, Alexander, et al.
Published: (2024)
by: Rubinstein, Alexander, et al.
Published: (2024)
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
by: Chen, Anthony, et al.
Published: (2023)
by: Chen, Anthony, et al.
Published: (2023)
Beyond Toy Benchmarks: A Systematic Evaluation of OOD Detection Methods For Plant Pathology Classification
by: Shah, Devesh
Published: (2026)
by: Shah, Devesh
Published: (2026)
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
by: Rezaei, Hossein, et al.
Published: (2024)
by: Rezaei, Hossein, et al.
Published: (2024)
CMOOD: Concept-based Multi-label OOD Detection
by: Liu, Zhendong, et al.
Published: (2024)
by: Liu, Zhendong, et al.
Published: (2024)
A Geometric Explanation of the Likelihood OOD Detection Paradox
by: Kamkari, Hamidreza, et al.
Published: (2024)
by: Kamkari, Hamidreza, et al.
Published: (2024)
Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
by: Rao, Arjun, et al.
Published: (2025)
by: Rao, Arjun, et al.
Published: (2025)
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
by: Lin, Jerry Chun-Wei, et al.
Published: (2024)
by: Lin, Jerry Chun-Wei, et al.
Published: (2024)
Ego4OOD: Rethinking Egocentric Video Domain Generalization via Covariate Shift Scoring
by: Vaseqi, Zahra, et al.
Published: (2026)
by: Vaseqi, Zahra, et al.
Published: (2026)
Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
by: Gupta, Pranay, et al.
Published: (2025)
by: Gupta, Pranay, et al.
Published: (2025)
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
by: Peleg, Amit, et al.
Published: (2025)
by: Peleg, Amit, et al.
Published: (2025)
Similar Items
-
How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024) -
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
by: Mueller, Maximilian, et al.
Published: (2024) -
A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025) -
Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins
by: Ray, Rahul D
Published: (2026) -
Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies
by: Graf, Olga, et al.
Published: (2026)