:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mai, Duong, Hall, Lawrence
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.03855
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Noise Efficiency in Privacy-preserving Dataset Distillation
by: Zheng, Runkai, et al.
Published: (2025)

NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
by: Zhao, Shuangchen, et al.
Published: (2024)

Improving Wildlife Out-of-Distribution Detection: Africas Big Five
by: Muthivhi, Mufhumudzi, et al.
Published: (2025)

FairNVT: Improving Fairness via Noise Injection in Vision Transformers
by: Tang, Qiaoyue, et al.
Published: (2026)

Differential Privacy Image Generation with Reconstruction Loss and Noise Injection Using an Error Feedback SGD
by: Ma, Qiwei, et al.
Published: (2026)

Global Intervention and Distillation for Federated Out-of-Distribution Generalization
by: Qi, Zhuang, et al.
Published: (2025)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models
by: Zhang, Xingxuan, et al.
Published: (2024)

EiHi Net: Out-of-Distribution Generalization Paradigm
by: Wei, Qinglai, et al.
Published: (2022)

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
by: Jung, Yoon Gyo, et al.
Published: (2024)

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

TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
by: Li, Jinning, et al.
Published: (2024)

See Through the Noise: Improving Domain Generalization in Gaze Estimation
by: Peng, Yanming, et al.
Published: (2026)

One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
by: Ergezer, Mehmet, et al.
Published: (2024)

Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
by: Zhdanov, Maksim, et al.
Published: (2023)

D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)

Neural Distribution Prior for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2026)

Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)

Signature Forgery Detection: Improving Cross-Dataset Generalization
by: Parracho, Matheus Ramos
Published: (2025)

Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
by: Pei, Haoran, et al.
Published: (2026)

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
by: Yoon, Suhee, et al.
Published: (2024)

Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
by: Hoang, Cuong Manh, et al.
Published: (2025)

Exploiting Diffusion Prior for Out-of-Distribution Detection
by: Zhu, Armando, et al.
Published: (2024)

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
by: Novello, Paul, et al.
Published: (2024)

Improved Noise Schedule for Diffusion Training
by: Hang, Tiankai, et al.
Published: (2024)

Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models
by: Li, Guo, et al.
Published: (2025)

LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
by: Shi, Jia, et al.
Published: (2024)

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)

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

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
by: Li, Shawn, et al.
Published: (2024)

Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
by: Rahman, Md Ashikur, et al.
Published: (2026)

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment
by: Zewde, Kidus, et al.
Published: (2026)

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
by: Nguyen, Cong Huy, et al.
Published: (2026)

Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective
by: Yuan, Maoxun, et al.
Published: (2025)

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
by: Gao, Xin, et al.
Published: (2025)

DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
by: Yue, Jiangbei, et al.
Published: (2026)

A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing
by: Stoica, Maria, et al.
Published: (2026)

GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
by: Kim, Changjin, et al.
Published: (2025)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)

Edge-Based Learning for Improved Classification Under Adversarial Noise
by: Kansana, Manish, et al.
Published: (2025)