:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Kaiyu, Wang, Zijian, Pan, Tan, Lovell, Brian C., Baktashmotlagh, Mahsa
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2506.09399
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
by: Guo, Kaiyu, et al.
Published: (2025)

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
by: Pan, Tan, et al.
Published: (2025)

Color-Oriented Redundancy Reduction in Dataset Distillation
by: Yuan, Bowen, et al.
Published: (2024)

Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
by: Khoba, Prafful Kumar, et al.
Published: (2025)

Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data
by: Wang, Shijie, et al.
Published: (2026)

Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data
by: Wang, Shijie, et al.
Published: (2026)

Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
by: Pan, Tan, et al.
Published: (2026)

WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management
by: Yuan, Bowen, et al.
Published: (2025)

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
by: Tong, Baoshun, et al.
Published: (2024)

Source-Free Domain-Invariant Performance Prediction
by: Khramtsova, Ekaterina, et al.
Published: (2024)

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
by: Lim, Jia Syuen, et al.
Published: (2024)

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
by: Long, Xingming, et al.
Published: (2024)

Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
by: Michalkiewicz, Mateusz, et al.
Published: (2024)

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2024)

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

Improving Training-free Conditional Diffusion Model via Fisher Information
by: Song, Kaiyu, et al.
Published: (2024)

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

Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
by: Ding, Choubo, et al.
Published: (2023)

DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
by: Geng, Jingyao, et al.
Published: (2024)

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)

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

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

Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration
by: Wang, Chaoqun, et al.
Published: (2024)

Catalyst: Out-of-Distribution Detection via Elastic Scaling
by: Hassan, Abid, et al.
Published: (2026)

Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
by: Zhao, Shizhen, et al.
Published: (2025)

Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
by: Miao, Wenjun, et al.
Published: (2024)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
by: Abdi, Lemar, et al.
Published: (2025)

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

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

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

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)

Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
by: Dong, Fuyu, et al.
Published: (2025)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)

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

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

Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
by: Cook, Evan D., et al.
Published: (2024)

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

Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning
by: Pan, Tan, et al.
Published: (2025)

ARC-Calib: Autonomous Markerless Camera-to-Robot Calibration via Exploratory Robot Motions
by: Chanrungmaneekul, Podshara, et al.
Published: (2025)

Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
by: Baek, Eunsu, et al.
Published: (2024)