Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yingsheng, Lu, Shuo, Liang, Jian, Zheng, Aihua, He, Ran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
by: Liang, Jian, et al.
Published: (2023)
by: Liang, Jian, et al.
Published: (2023)
Energy Correction Model in the Feature Space for Out-of-Distribution Detection
by: Lafon, Marc, et al.
Published: (2024)
by: Lafon, Marc, et al.
Published: (2024)
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024)
by: Djurisic, Andrija, et al.
Published: (2024)
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)
by: Yang, Jingkang, et al.
Published: (2021)
Concept Matching with Agent for Out-of-Distribution Detection
by: Lee, Yuxiao, et al.
Published: (2024)
by: Lee, Yuxiao, et al.
Published: (2024)
Non-Linear Outlier Synthesis for Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
by: Galesso, Silvio, et al.
Published: (2024)
by: Galesso, Silvio, et al.
Published: (2024)
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
by: Guille-Escuret, Charles, et al.
Published: (2023)
by: Guille-Escuret, Charles, et al.
Published: (2023)
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
by: Li, Jeng-Lin, et al.
Published: (2024)
by: Li, Jeng-Lin, et al.
Published: (2024)
Advancing Out-of-Distribution Detection via Local Neuroplasticity
by: Canevaro, Alessandro, et al.
Published: (2025)
by: Canevaro, Alessandro, et al.
Published: (2025)
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
by: Bellier, Georges Le, et al.
Published: (2024)
by: Bellier, Georges Le, et al.
Published: (2024)
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
by: Xu, Chenhui, et al.
Published: (2024)
by: Xu, Chenhui, et al.
Published: (2024)
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)
by: Gupta, Srishti, et al.
Published: (2025)
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
by: Ekim, Burak, et al.
Published: (2024)
by: Ekim, Burak, et al.
Published: (2024)
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
by: Zhdanov, Maksim, et al.
Published: (2023)
by: Zhdanov, Maksim, et al.
Published: (2023)
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)
by: Bai, Yichen, et al.
Published: (2023)
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
by: Ye, Yinyu, et al.
Published: (2024)
by: Ye, Yinyu, et al.
Published: (2024)
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)
by: Viviers, Christiaan, et al.
Published: (2024)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)
by: Yu, Geng, et al.
Published: (2024)
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
by: Novello, Paul, et al.
Published: (2024)
by: Novello, Paul, et al.
Published: (2024)
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
by: Genç, Furkan, et al.
Published: (2026)
by: Genç, Furkan, et al.
Published: (2026)
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
by: Miyai, Atsuyuki, et al.
Published: (2024)
by: Miyai, Atsuyuki, et al.
Published: (2024)
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
by: Sayem, Faizul Rakib, et al.
Published: (2025)
by: Sayem, Faizul Rakib, et al.
Published: (2025)
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
by: Zhou, Andy, et al.
Published: (2023)
by: Zhou, Andy, et al.
Published: (2023)
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
by: Liu, Moru, et al.
Published: (2025)
by: Liu, Moru, et al.
Published: (2025)
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
by: Dong, Hao, et al.
Published: (2025)
by: Dong, Hao, et al.
Published: (2025)
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
by: Constantinou, Christos, et al.
Published: (2024)
by: Constantinou, Christos, et al.
Published: (2024)
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
by: Dontas, Michail, et al.
Published: (2024)
by: Dontas, Michail, et al.
Published: (2024)
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
by: Lu, Yangdi, et al.
Published: (2024)
by: Lu, Yangdi, et al.
Published: (2024)
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
by: Shi, Jia, et al.
Published: (2024)
by: Shi, Jia, et al.
Published: (2024)
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)
by: Harun, Md Yousuf, et al.
Published: (2024)
Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)
by: Lu, Haodong, et al.
Published: (2024)
Learning by Reconstruction Produces Uninformative Features For Perception
by: Balestriero, Randall, et al.
Published: (2024)
by: Balestriero, Randall, et al.
Published: (2024)
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
by: Wu, Tian-Shuang, et al.
Published: (2025)
by: Wu, Tian-Shuang, et al.
Published: (2025)
Similar Items
-
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
by: Liang, Jian, et al.
Published: (2023) -
Energy Correction Model in the Feature Space for Out-of-Distribution Detection
by: Lafon, Marc, et al.
Published: (2024) -
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024) -
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024) -
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)