Copertina

Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	De la Jara, I. M., Rodriguez-Opazo, C., Teney, D., Ranasinghe, D., Abbasnejad, E.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
di: Teney, Damien, et al.
Pubblicazione: (2025)

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
di: Rodriguez-Opazo, Cristian, et al.
Pubblicazione: (2024)

Neural Redshift: Random Networks are not Random Functions
di: Teney, Damien, et al.
Pubblicazione: (2024)

Leveraging Intermediate Representations for Better Out-of-Distribution Detection
di: Guglielmo, Gianluca, et al.
Pubblicazione: (2025)

An empirical study of the effect of video encoders on Temporal Video Grounding
di: De la Jara, Ignacio M., et al.
Pubblicazione: (2025)

Predicting Penalty Kick Direction Using Multi-Modal Deep Learning with Pose-Guided Attention
di: Ranasinghe, Pasindu, et al.
Pubblicazione: (2025)

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks
di: Doan, Bao Gia, et al.
Pubblicazione: (2024)

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

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
di: Rahimi, Parsa, et al.
Pubblicazione: (2025)

Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
di: Cook, Evan D., et al.
Pubblicazione: (2024)

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

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
di: Zhang, Frederic Z., et al.
Pubblicazione: (2024)

RandLoRA: Full-rank parameter-efficient fine-tuning of large models
di: Albert, Paul, et al.
Pubblicazione: (2025)

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

RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
di: Zhang, Bin, et al.
Pubblicazione: (2025)

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

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

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

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
di: Guo, Kaiyu, et al.
Pubblicazione: (2025)

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
di: Koutlis, Christos, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

Certified but Fooled! Breaking Certified Defences with Ghost Certificates
di: Vo, Quoc Viet, et al.
Pubblicazione: (2025)

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
di: Li, Jinglun, et al.
Pubblicazione: (2024)

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

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

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

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

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

Background Prompt for Few-Shot Out-of-Distribution Detection
di: Cai, Songyue, et al.
Pubblicazione: (2025)

Catalyst: Out-of-Distribution Detection via Elastic Scaling
di: Hassan, Abid, et al.
Pubblicazione: (2026)

Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
di: Chen, Wenxi, et al.
Pubblicazione: (2025)

FrOoDo: Framework for Out-of-Distribution Detection
di: Stieber, Jonathan, et al.
Pubblicazione: (2022)

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

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

Enhancing Out-of-Distribution Detection with Extended Logit Normalization
di: Ding, Yifan, et al.
Pubblicazione: (2025)