Image de couverture de livre

Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, K, Song, G, Su, Hanwen, Wang, Jiyan
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dynamic Multi-level Weighted Alignment Network for Zero-shot Sketch-based Image Retrieval
par: Su, Hanwen, et autres
Publié: (2025)

Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval
par: Su, Hanwen, et autres
Publié: (2024)

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
par: He, Zhixia, et autres
Publié: (2025)

Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
par: Lee, Pei-Kang, et autres
Publié: (2025)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models
par: Zhang, Xingxuan, et autres
Publié: (2024)

Generating Out-Of-Distribution Scenarios Using Language Models
par: Aasi, Erfan, et autres
Publié: (2024)

Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
par: Xu, Haoran, et autres
Publié: (2026)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
par: Miao, Wenjun, et autres
Publié: (2024)

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models
par: Noda, Shiho, et autres
Publié: (2025)

UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
par: Zhang, Qihui, et autres
Publié: (2025)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models
par: Ju, Lie, et autres
Publié: (2025)

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models
par: Lin, Ling, et autres
Publié: (2026)

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
par: Chen, Yu-Jen, et autres
Publié: (2025)

Out-of-Distribution Detection with Prototypical Outlier Proxy
par: Gong, Mingrong, et autres
Publié: (2024)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
par: Lu, Xinhua, et autres
Publié: (2025)

Out-of-Distribution Detection Based on Total Variation Estimation
par: Ma, Dabiao, et autres
Publié: (2026)

Generalized Few-Shot Out-of-Distribution Detection
par: Li, Pinxuan, et autres
Publié: (2025)

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
par: Isaac-Medina, Brian K. S., et autres
Publié: (2025)

DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
par: Miao, Qiaowei, et autres
Publié: (2024)

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
par: Qi, Jiaxin, et autres
Publié: (2022)

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
par: Feng, Shuai, et autres
Publié: (2025)

TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning
par: Li, Jinglun, et autres
Publié: (2024)

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
par: Fan, Lei, et autres
Publié: (2024)

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
par: Nguyen, Quang-Huy, et autres
Publié: (2024)

Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
par: Fang, Xiang, et autres
Publié: (2024)

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
par: Ling, Zhiwei, et autres
Publié: (2025)

Distributional Uncertainty for Out-of-Distribution Detection
par: Kim, JinYoung, et autres
Publié: (2025)

LEAML: Label-Efficient Adaptation to Out-of-Distribution Visual Tasks for Multimodal Large Language Models
par: Lin, Ci-Siang, et autres
Publié: (2025)

Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
par: Xing, Meng, et autres
Publié: (2022)

DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
par: Geng, Jingyao, et autres
Publié: (2024)

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
par: Zhu, Wenjie, et autres
Publié: (2025)

Low-Dimensional Gradient Helps Out-of-Distribution Detection
par: Wu, Yingwen, et autres
Publié: (2023)

Real3D: Scaling Up Large Reconstruction Models with Real-World Images
par: Jiang, Hanwen, et autres
Publié: (2024)

Phase Matching for Out-of-Distribution Generalization
par: Hu, Chengming, et autres
Publié: (2023)

DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
par: Wu, Yanqi, et autres
Publié: (2026)

Backdooring Vision-Language Models with Out-Of-Distribution Data
par: Lyu, Weimin, et autres
Publié: (2024)

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
par: Tong, Baoshun, et autres
Publié: (2024)

Component-Based Out-of-Distribution Detection
par: Liu, Wenrui, et autres
Publié: (2026)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
par: Li, Jingyao, et autres
Publié: (2024)

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
par: Liu, Kai, et autres
Publié: (2024)