:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei, Qinglai, Yuan, Beiming, Chen, Diancheng
Formato:	Preprint
Publicado:	2022
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2209.14946
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Global Intervention and Distillation for Federated Out-of-Distribution Generalization
por: Qi, Zhuang, et al.
Publicado: (2025)

Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
por: Song, Ruizhuo, et al.
Publicado: (2024)

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
por: Lai, Runhe, et al.
Publicado: (2025)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models
por: Zhang, Xingxuan, et al.
Publicado: (2024)

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
por: Jung, Yoon Gyo, et al.
Publicado: (2024)

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

Exploiting Diffusion Prior for Out-of-Distribution Detection
por: Zhu, Armando, et al.
Publicado: (2024)

Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
por: Mai, Duong, et al.
Publicado: (2025)

Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
por: Li, Jeng-Lin, et al.
Publicado: (2024)

Neural Distribution Prior for LiDAR Out-of-Distribution Detection
por: Li, Zizhao, et al.
Publicado: (2026)

Generalized Out-of-Distribution Detection: A Survey
por: Yang, Jingkang, et al.
Publicado: (2021)

Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
por: Pei, Haoran, et al.
Publicado: (2026)

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
por: Yoon, Suhee, et al.
Publicado: (2024)

Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm
por: Wu, Changshun, et al.
Publicado: (2025)

NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
por: Zhao, Shuangchen, et al.
Publicado: (2024)

HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling
por: Yang, Minghao, et al.
Publicado: (2025)

SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation
por: Chen, Zisheng, et al.
Publicado: (2025)

CarbonNet: How Computer Vision Plays a Role in Climate Change? Application: Learning Geomechanics from Subsurface Geometry of CCS to Mitigate Global Warming
por: Chen, Wei, et al.
Publicado: (2024)

HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
por: Wang, Hongjun, et al.
Publicado: (2024)

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
por: Li, Yixia, et al.
Publicado: (2024)

Concept Matching with Agent for Out-of-Distribution Detection
por: Lee, Yuxiao, et al.
Publicado: (2024)

Triple-CFN: Separating Concepts and Features Enhances Machine Abstract Reasoning Ability
por: Song, Ruizhuo, et al.
Publicado: (2024)

D4C: Improving Negative Example Quality to Enhance Machine Abstract Reasoning Ability
por: Song, Ruizhuo, et al.
Publicado: (2024)

Solving the Clustering Reasoning Problems by Modeling a Deep-Learning-Based Probabilistic Model
por: Song, Ruizhuo, et al.
Publicado: (2024)

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
por: Song, Ruizhuo, et al.
Publicado: (2025)

LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
por: Shi, Jia, et al.
Publicado: (2024)

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
por: Harun, Md Yousuf, et al.
Publicado: (2024)

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
por: Li, Shawn, et al.
Publicado: (2024)

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

HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models
por: Zhou, Ziqin, et al.
Publicado: (2025)

Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
por: Rahman, Md Ashikur, et al.
Publicado: (2026)

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
por: Chen, Muxi, et al.
Publicado: (2025)

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models
por: Lin, Ling, et al.
Publicado: (2026)

HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
por: Zhang, Jianke, et al.
Publicado: (2024)

DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
por: Yue, Jiangbei, et al.
Publicado: (2026)

A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing
por: Stoica, Maria, et al.
Publicado: (2026)

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

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

Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration
por: Lu, Xin, et al.
Publicado: (2025)

Hi-LSplat: Hierarchical 3D Language Gaussian Splatting
por: Zhan, Chenlu, et al.
Publicado: (2025)