Copertina

Low-Dimensional Gradient Helps Out-of-Distribution Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Yingwen, Li, Tao, Cheng, Xinwen, Yang, Jie, Huang, Xiaolin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Beyond Perceptual Distances: Rethinking Disparity Assessment for Out-of-Distribution Detection with Diffusion Models
di: Fang, Kun, et al.
Pubblicazione: (2024)

Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
di: Fang, Kun, et al.
Pubblicazione: (2022)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations
di: Fang, Kun, et al.
Pubblicazione: (2025)

Towards Robust Neural Networks via Orthogonal Diversity
di: Fang, Kun, et al.
Pubblicazione: (2020)

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
di: Tong, Baoshun, et al.
Pubblicazione: (2024)

Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
di: Lee, Pei-Kang, et al.
Pubblicazione: (2025)

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

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

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
di: Gu, Jiawei, et al.
Pubblicazione: (2025)

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

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
di: Xu, Haonan, et al.
Pubblicazione: (2024)

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
di: Long, Xingming, et al.
Pubblicazione: (2024)

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

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection
di: Peng, Zhimao, et al.
Pubblicazione: (2025)

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

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

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

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

Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background
di: Li, Tianyu, 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)

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

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
di: Liu, Kai, et al.
Pubblicazione: (2024)

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
di: Li, Yixia, et al.
Pubblicazione: (2024)

Local Background Features Matter in Out-of-Distribution Detection
di: Ye, Jinlun, et al.
Pubblicazione: (2025)

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection
di: Wu, Yanqi, et al.
Pubblicazione: (2026)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
di: Yang, William, et al.
Pubblicazione: (2023)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
di: Zeng, Fanhu, et al.
Pubblicazione: (2024)

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

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

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

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

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

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
di: Zhao, Wenjie, et al.
Pubblicazione: (2026)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
di: Li, Jingyao, et al.
Pubblicazione: (2024)

Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
di: Huang, K, et al.
Pubblicazione: (2024)

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
di: He, Yina, et al.
Pubblicazione: (2024)

OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
di: Su, Binyi, et al.
Pubblicazione: (2026)