conftrace_

out-of-distribution detection

617 papers

Explore in graph

Also known as

OODD OOD DETECTION

Co-occurring keywords

uncertainty quantification (1393) distribution shift (722) uncertainty estimation (648) anomaly detection (747) neural network (6616) ood detection (45) generative model (2892) representation learning (6206) domain generalization (1522) contrastive learning (4032)

Papers

Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026
Flow-Induced Diagonal Gaussian Processes AAAI 2026
WiSE-OD: Benchmarking Robustness in Infrared Object Detection WACV 2026
Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026
Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026
Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? WACV 2026
ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026
Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026
Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models AAAI 2026
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026
Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment AAAI 2026
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects using Prototypes WACV 2025
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning ICCV 2025
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations AAAI 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025
Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes ICCV 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection IJCAI 2025