:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Krumpl, Gerhard, Avenhaus, Henning, Possegger, Horst
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2601.10836
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research
by: Krumpl, Gerhard, et al.
Published: (2026)

Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
by: Prutsch, Alexander, et al.
Published: (2024)

Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling
by: Prutsch, Alexander, et al.
Published: (2026)

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
by: Micorek, Jakub, et al.
Published: (2024)

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
by: Fruhwirth-Reisinger, Christian, et al.
Published: (2024)

GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
by: Malić, Dušan, et al.
Published: (2025)

Into the Fog: Evaluating Robustness of Multiple Object Tracking
by: Kirillova, Nadezda, et al.
Published: (2024)

LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
by: Malić, Dušan, et al.
Published: (2025)

GS-2M: Material-aware Gaussian Splatting for High-fidelity Mesh Reconstruction
by: Nguyen, Dinh Minh, et al.
Published: (2025)

SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting
by: Prutsch, Alexander, et al.
Published: (2026)

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
by: Fruhwirth-Reisinger, Christian, et al.
Published: (2025)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)

GBlobs: Local LiDAR Geometry for Improved Sensor Placement Generalization
by: Malić, Dušan, et al.
Published: (2025)

Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
by: Spoecklberger, Johannes, et al.
Published: (2025)

Learn to Rank: Visual Attribution by Learning Importance Ranking
by: Schinagl, David, et al.
Published: (2026)

Efficient Odd-One-Out Anomaly Detection
by: Chito, Silvio, et al.
Published: (2025)

Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection
by: Chen, Xinyi, et al.
Published: (2024)

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

Odd-One-Out: Anomaly Detection by Comparing with Neighbors
by: Bhunia, Ankan, 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)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
by: Li, Jingyao, et al.
Published: (2024)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models
by: Ju, Lie, et al.
Published: (2025)

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

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

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

Adaptive Label Smoothing for Out-of-Distribution Detection
by: Xu, Mingle, et al.
Published: (2024)

GROOD: GRadient-Aware Out-of-Distribution Detection
by: ElAraby, Mostafa, et al.
Published: (2023)

Multi-Method Ensemble for Out-of-Distribution Detection
by: Rakotoarivony, Lucas
Published: (2025)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

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

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

Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
by: Kotseruba, Iuliia, et al.
Published: (2020)

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion
by: Chen, Cheng, et al.
Published: (2026)

Out-of-Distribution Detection Based on Total Variation Estimation
by: Ma, Dabiao, et al.
Published: (2026)

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)

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

Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
by: Lee, Pei-Kang, et al.
Published: (2025)

Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
by: Li, Chaohua, et al.
Published: (2025)

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