Copertina

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Kai, Fu, Zhihang, Jin, Sheng, Chen, Chao, Chen, Ze, Jiang, Rongxin, Zhou, Fan, Chen, Yaowu, Ye, Jieping
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

ESOD: Efficient Small Object Detection on High-Resolution Images
di: Liu, Kai, et al.
Pubblicazione: (2024)

Self-Learning Symmetric Multi-view Probabilistic Clustering
di: Liu, Junjie, et al.
Pubblicazione: (2023)

TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
di: Ye, Yinyu, et al.
Pubblicazione: (2024)

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

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
di: Chen, Chao, et al.
Pubblicazione: (2024)

Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
di: Fang, Xiang, et al.
Pubblicazione: (2024)

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

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

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
di: Wu, Tian-Shuang, et al.
Pubblicazione: (2025)

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

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

Backdooring Vision-Language Models with Out-Of-Distribution Data
di: Lyu, Weimin, et al.
Pubblicazione: (2024)

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

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

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
di: Li, Jinglun, et al.
Pubblicazione: (2025)

URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
di: Teng, Ge, et al.
Pubblicazione: (2024)

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

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

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

Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
di: Li, Jeng-Lin, et al.
Pubblicazione: (2024)

Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection
di: Chen, Xinyi, et al.
Pubblicazione: (2024)

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

Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
di: Sheng, Jiahui, et al.
Pubblicazione: (2026)

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

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
di: Ji, Yingrui, et al.
Pubblicazione: (2024)

Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
di: Miao, Wenjun, 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)

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

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

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

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
di: Lai, Runhe, et al.
Pubblicazione: (2025)

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

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

Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
di: Li, Chaohua, et al.
Pubblicazione: (2025)

Structure-aware Domain Knowledge Injection for Large Language Models
di: Liu, Kai, et al.
Pubblicazione: (2024)

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

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

Phase Matching for Out-of-Distribution Generalization
di: Hu, Chengming, et al.
Pubblicazione: (2023)

Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology
di: Sadman, Nafiz, et al.
Pubblicazione: (2025)