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Single-Source Domain Generalization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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.
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Learning to Diversify for Single Domain Generalization
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Reducing Domain Gap by Reducing Style Bias
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