domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

Towards Generalizable Multi-Object Tracking CVPR 2024

Exploring the Impact of Rendering Method and Motion Quality on Model Performance When Using Multi-View Synthetic Data for Action Recognition WACV 2024

Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition CVPR 2024

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization CVPR 2024

Continual Atlas-Based Segmentation of Prostate MRI WACV 2024

Test-Time Domain Generalization for Face Anti-Spoofing CVPR 2024

A2XP: Towards Private Domain Generalization CVPR 2024

Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-Based Gaze Estimation WACV 2024

LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NIPS 2024

Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling WACV 2024

Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NIPS 2024

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024

Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NIPS 2024

Adaptive Domain Learning for Cross-domain Image Denoising NIPS 2024

Dissecting the Failure of Invariant Learning on Graphs NIPS 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024

When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024

Toward More Generalized Malicious URL Detection Models AAAI 2024

Generalizing across Temporal Domains with Koopman Operators AAAI 2024