Imagen de Portada

Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Oh, Ahyoung, Shin, Wonseok, Kim, Songkuk
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DebFilter: Eradicating Biases Stashed in Value
por: Lee, Seung Hyuk, et al.
Publicado: (2026)

How Diffusion Models Memorize
por: Kim, Juyeop, et al.
Publicado: (2025)

Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
por: Oh, Hongseok, et al.
Publicado: (2025)

Attentive Fine-Grained Structured Sparsity for Image Restoration
por: Oh, Junghun, et al.
Publicado: (2022)

Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
por: Xing, Meng, et al.
Publicado: (2022)

Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
por: Järve, Joonas, et al.
Publicado: (2025)

Are We Ready for Out-of-Distribution Detection in Digital Pathology?
por: Oh, Ji-Hun, et al.
Publicado: (2024)

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

Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data
por: Guan, Juwei, et al.
Publicado: (2025)

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
por: Chang, Gyusam, et al.
Publicado: (2024)

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
por: Dou, Yiming, et al.
Publicado: (2025)

MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents
por: Kwon, Minkyung, et al.
Publicado: (2026)

Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow
por: Liu, Chengxin, et al.
Publicado: (2026)

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

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

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

Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
por: Mao, Zhenjiang, et al.
Publicado: (2024)

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

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

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

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

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

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

Beyond Motion Cues and Structural Sparsity: Revisiting Small Moving Target Detection
por: Zhang, Guoyi, et al.
Publicado: (2025)

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

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

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

Learning Transferable Negative Prompts for Out-of-Distribution Detection
por: Li, Tianqi, et al.
Publicado: (2024)

Background Prompt for Few-Shot Out-of-Distribution Detection
por: Cai, Songyue, et al.
Publicado: (2025)

Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
por: Chen, Wenxi, et al.
Publicado: (2025)

FrOoDo: Framework for Out-of-Distribution Detection
por: Stieber, Jonathan, et al.
Publicado: (2022)

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

Prototype-based Optimal Transport for Out-of-Distribution Detection
por: Ke, Ao, et al.
Publicado: (2024)

Enhancing Out-of-Distribution Detection with Extended Logit Normalization
por: Ding, Yifan, et al.
Publicado: (2025)

Low-Dimensional Gradient Helps Out-of-Distribution Detection
por: Wu, Yingwen, et al.
Publicado: (2023)

Out-of-Distribution Detection using Neural Activation Prior
por: Wan, Weilin, et al.
Publicado: (2024)

Margin-bounded Confidence Scores for Out-of-Distribution Detection
por: Tamang, Lakpa D., et al.
Publicado: (2024)

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

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

FlowOVD: Learning Generative Latent Flows for Zero-shot Open-vocabulary Detection
por: Wei, Yao, et al.
Publicado: (2026)