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Single-Source Domain Generalization
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In this task a model is trained in a single source domain and then it is tested in a number of target domains
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data
Color-Quality Invariance for Robust Medical Image Segmentation
Avoiding Shortcuts: Enhancing Channel-Robust Specific Emitter Identification via Single-Source Domain Generalization
Rethinking domain generalization in medical image segmentation: One image as one domain
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup Segmentation
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
Language Guided Domain Generalized Medical Image Segmentation
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
Adversarial Bayesian Augmentation for Single-Source Domain Generalization
CNN Feature Map Augmentation for Single-Source Domain Generalization
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Improved Test-Time Adaptation for Domain Generalization
Meta-causal Learning for Single Domain Generalization
Progressive Random Convolutions for Single Domain Generalization
Center-aware Adversarial Augmentation for Single Domain Generalization
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
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