Cover Image

Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Xiang, Easwaran, Arvind, Genest, Blaise, Suganthan, Ponnuthurai Nagaratnam
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
by: Fang, Xiang, et al.
Published: (2024)

Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
by: Fang, Xiang, et al.
Published: (2024)

Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
by: Fang, Xiang, et al.
Published: (2025)

Vanilla Gradient Descent for Oblique Decision Trees
by: Panda, Subrat Prasad, et al.
Published: (2024)

Incremental Online Learning of Randomized Neural Network with Forward Regularization
by: Wang, Junda, et al.
Published: (2024)

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

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
by: Miao, Wenjun, et al.
Published: (2024)

DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
by: Miao, Qiaowei, et al.
Published: (2024)

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

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
by: Zhu, Huilin, et al.
Published: (2025)

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

Formal Reasoning About Confidence and Automated Verification of Neural Networks
by: Afzal, Mohammad, et al.
Published: (2025)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2024)

StyleYourSmile: Cross-Domain Face Retargeting Without Paired Multi-Style Data
by: Dey, Avirup, et al.
Published: (2025)

Defying Imbalanced Forgetting in Class Incremental Learning
by: Xu, Shixiong, et al.
Published: (2024)

Robust AI-Generated Face Detection with Imbalanced Data
by: Krubha, Yamini Sri, et al.
Published: (2025)

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
by: Lee, Hyuck, et al.
Published: (2024)

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

Multi-Receptive Field Ensemble with Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection
by: Naveed, Humza, et al.
Published: (2025)

Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation
by: Kim, Taeyeong, et al.
Published: (2025)

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

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

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

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

SemAlign: Language Guided Semi-supervised Domain Generalization
by: Fernando, Muditha, et al.
Published: (2026)

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

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
by: Li, Jiaming, et al.
Published: (2024)

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
by: Ling, Zhiwei, et al.
Published: (2025)

A Unified Approach Towards Active Learning and Out-of-Distribution Detection
by: Schmidt, Sebastian, et al.
Published: (2024)

Domain penalisation for improved Out-of-Distribution Generalisation
by: Jena, Shuvam, et al.
Published: (2024)

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

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
by: Feng, Shuai, et al.
Published: (2025)

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation
by: Pavan, Martina, et al.
Published: (2026)

Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
by: Li, Yijiang, et al.
Published: (2024)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
by: Wang, Leyuan, et al.
Published: (2024)

Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
by: Mei, Ruo-Syuan, et al.
Published: (2025)

Toward a Realistic Benchmark for Out-of-Distribution Detection
by: Recalcati, Pietro, et al.
Published: (2024)

On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
by: O'Mahony, Laura, et al.
Published: (2024)

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
by: Maag, Kira, et al.
Published: (2022)

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
by: Chen, Yu-Jen, et al.
Published: (2025)