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Domain Generalization
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The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain
Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GLAD: Generalizable Tuning for Vision-Language Models
MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion
Integrated Structural Prompt Learning for Vision-Language Models
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
Harmonizing and Merging Source Models for CLIP-based Domain Generalization
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
RoCA: Robust Cross-Domain End-to-End Autonomous Driving
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
Play to Generalize: Learning to Reason Through Game Play
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations
Generalized Trajectory Scoring for End-to-end Multimodal Planning
On Inverse Problems, Parameter Estimation, and Domain Generalization
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
UniPTMs: The First Unified Multi-type PTM Site Prediction Model via Master-Slave Architecture-Based Multi-Stage Fusion Strategy and Hierarchical Contrastive Loss
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
VUDG: A Dataset for Video Understanding Domain Generalization
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning
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