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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.
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
Learning to Learn Weight Generation via Local Consistency Diffusion
Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models
Intrinsic Tensor Field Propagation in Large Language Models: A Novel Approach to Contextual Information Flow
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving
Federated Domain Generalization with Data-free On-server Matching Gradient
Rethinking Table Instruction Tuning
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis
Avoiding Shortcuts: Enhancing Channel-Robust Specific Emitter Identification via Single-Source Domain Generalization
CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition
On the challenges of detecting MCI using EEG in the wild
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
GameFactory: Creating New Games with Generative Interactive Videos
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation
Rethinking domain generalization in medical image segmentation: One image as one domain
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Information Subtraction: Learning Representations for Conditional Entropy
Text-to-Image GAN with Pretrained Representations
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
TextSleuth: Towards Explainable Tampered Text Detection
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Object Style Diffusion for Generalized Object Detection in Urban Scene
GLIDER: Grading LLM Interactions and Decisions using Explainable Ranking
Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
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