Domain Adaptation On Office 31

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Average Accuracy

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이 벤치마크에서 각 모델의 성능 결과

		Paper Title
FFTAT	96.0	Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
PMTrans	95.3	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
CMKD	94.4	Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
SSRT-B (ours)	93.5	Safe Self-Refinement for Transformer-based Domain Adaptation
CDTrans	92.6	CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CoVi	91.8	Contrastive Vicinal Space for Unsupervised Domain Adaptation
GSDE	91.7	Gradual Source Domain Expansion for Unsupervised Domain Adaptation
FixBi	91.4	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Contrastive Adaptation Network	90.6	Contrastive Adaptation Network for Unsupervised Domain Adaptation
BIWAA	90.5	Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
ELS	90.4	Free Lunch for Domain Adversarial Training: Environment Label Smoothing
DALN	90.4	Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
dSNE	90.01	d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
ASAN	90.0	Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
SFDA2	89.9	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
CPGA	89.9	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
MDAIR	89.8	Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
SPL	89.6	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
CADA-P	89.5	Attending to Discriminative Certainty for Domain Adaptation
MEDM	89.2	Entropy Minimization vs. Diversity Maximization for Domain Adaptation

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Domain Adaptation On Office 31

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평가 결과