Cover Image

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yifeng, Feng, Jubo, Xu, Jing, Wang, Xinbing, Gu, Qinying, Ye, Nanyang
Format:	Preprint
Published:	2026
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

$Δ\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
by: Zhu, Lin, et al.
Published: (2025)

Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration
by: Xian, Mingtao, et al.
Published: (2026)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
by: Yang, Yifeng, et al.
Published: (2025)

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
by: Zhu, Lin, et al.
Published: (2025)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
by: Zhu, Lin, et al.
Published: (2025)

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
by: Wu, Fan, et al.
Published: (2024)

Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)

TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
by: Ye, Jinlun, et al.
Published: (2026)

Mitigating the ID-OOD Tradeoff in Open-Set Test-Time Adaptation
by: Zhao, Wenjie, et al.
Published: (2026)

Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs
by: Xu, Zhikang, et al.
Published: (2026)

Negative Label Guided OOD Detection with Pretrained Vision-Language Models
by: Jiang, Xue, et al.
Published: (2024)

Halt the Hallucination: Decoupling Signal and Semantic OOD Detection Based on Cascaded Early Rejection
by: Peng, Ningkang, et al.
Published: (2026)

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2026)

ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
by: Zhu, Wenjie, et al.
Published: (2025)

AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
by: Yang, Puning, et al.
Published: (2023)

PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search
by: Peng, Chensheng, et al.
Published: (2024)

Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization
by: Wang, Haoliang, et al.
Published: (2024)

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
by: Zou, Shu, et al.
Published: (2025)

Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
by: Lee, Wooseok, et al.
Published: (2026)

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

NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
by: Ansari, Amirhossein, et al.
Published: (2025)

Early High-Frequency Injection for Geometry-Sensitive OOD Detection
by: Cheng, Chuanjie, et al.
Published: (2026)

Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
by: Chen, Mengyuan, et al.
Published: (2024)

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

Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection
by: Zhou, Lihua, et al.
Published: (2026)

Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
by: Xu, Jing, et al.
Published: (2024)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
by: Yang, William, et al.
Published: (2023)

AdaSCALE: Adaptive Scaling for OOD Detection
by: Regmi, Sudarshan
Published: (2025)

Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
by: Chen, Junkun, et al.
Published: (2024)

Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
by: Tang, Hao, et al.
Published: (2026)

How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026)

Near OOD Detection for Vision-Language Prompt Learning with Contrastive Logit Score
by: Jung, Myong Chol, et al.
Published: (2024)

Comprehensive OOD Detection Improvements
by: Lakkapragada, Anish, et al.
Published: (2024)

VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)

AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2024)

Decoupling Forgery Semantics for Generalizable Deepfake Detection
by: Ye, Wei, et al.
Published: (2024)

PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)

Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
by: Lin, Qiuxia, et al.
Published: (2025)

GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
by: Zou, Kun, et al.
Published: (2025)

RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision
by: Wang, Shuo, et al.
Published: (2024)