Imagen de Portada

Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Son, Ha Min, Zhao, Zhe, Rezaei, Shahbaz, Liu, Xin
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
por: Son, Ha Min, et al.
Publicado: (2025)

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
por: Cheng, De, et al.
Publicado: (2025)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
por: Wang, Siqi, et al.
Publicado: (2025)

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
por: Ha, Seokhyeon, et al.
Publicado: (2023)

MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation
por: Godavarthy, Sonali, et al.
Publicado: (2026)

Meta Curvature-Aware Minimization for Domain Generalization
por: Chen, Ziyang, et al.
Publicado: (2024)

Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
por: Galati, Francesco, et al.
Publicado: (2025)

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
por: Zhang, Ruipeng, et al.
Publicado: (2024)

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
por: Li, Jindong, et al.
Publicado: (2025)

Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
por: Almudévar, Antonio, et al.
Publicado: (2024)

Preserving Silent Features for Domain Generalization
por: Zhao, Chujie, et al.
Publicado: (2024)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
por: Wang, Lei, et al.
Publicado: (2024)

Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
por: Xu, Xin, et al.
Publicado: (2025)

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
por: Han, Zhu, et al.
Publicado: (2024)

Sim-to-Real Domain Adaptation for Deformation Classification
por: Sol, Joel, et al.
Publicado: (2024)

Vision and Language Integration for Domain Generalization
por: Wang, Yanmei, et al.
Publicado: (2025)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
por: Wei, Tianxin, et al.
Publicado: (2025)

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
por: Liu, Songhua, et al.
Publicado: (2024)

Domain-Aware Continual Zero-Shot Learning
por: Yi, Kai, et al.
Publicado: (2021)

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
por: Liu, Weide, et al.
Publicado: (2025)

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures
por: Ezuma, Ifeanyi, et al.
Publicado: (2026)

Domain Generalization with Small Data
por: Chen, Kecheng, et al.
Publicado: (2024)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
por: Bai, Sikai, et al.
Publicado: (2024)

Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
por: Nguyen, Truong Son
Publicado: (2025)

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
por: Thaler, Franz, et al.
Publicado: (2025)

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
por: Enomoto, Shohei
Publicado: (2025)

COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
por: Yang, Hao-Ran, et al.
Publicado: (2024)

Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
por: Li, Adrian Shuai, et al.
Publicado: (2023)

Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
por: Zhu, Hongjie, et al.
Publicado: (2025)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
por: Choi, Jaehyun, et al.
Publicado: (2025)

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
por: Xiao, Zhiqing, et al.
Publicado: (2025)

ERM++: An Improved Baseline for Domain Generalization
por: Teterwak, Piotr, et al.
Publicado: (2023)

Domain Generalization by Rejecting Extreme Augmentations
por: Aminbeidokhti, Masih, et al.
Publicado: (2023)

Domain-Generalizable Multiple-Domain Clustering
por: Rozner, Amit, et al.
Publicado: (2023)

Adapting to Distribution Shift by Visual Domain Prompt Generation
por: Chi, Zhixiang, et al.
Publicado: (2024)

Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
por: Jin, Xin, et al.
Publicado: (2024)

Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
por: Peng, Kunyu, et al.
Publicado: (2024)

Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
por: Rostami, Mohammad
Publicado: (2024)

Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
por: Hasegawa, Tatsuhito, et al.
Publicado: (2025)

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
por: Chen, Liang, et al.
Publicado: (2024)