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Domain Adaptation On Office 31

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

Paper Title
FFTAT96.0Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
PMTrans95.3Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
CMKD94.4Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
SSRT-B (ours)93.5Safe Self-Refinement for Transformer-based Domain Adaptation
CDTrans92.6CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CoVi91.8Contrastive Vicinal Space for Unsupervised Domain Adaptation
GSDE91.7Gradual Source Domain Expansion for Unsupervised Domain Adaptation
FixBi91.4FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Contrastive Adaptation Network90.6Contrastive Adaptation Network for Unsupervised Domain Adaptation
BIWAA90.5Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
ELS90.4Free Lunch for Domain Adversarial Training: Environment Label Smoothing
DALN90.4Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
dSNE90.01d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
ASAN90.0Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
SFDA289.9SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
CPGA89.9Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
MDAIR89.8Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
SPL89.6Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
CADA-P89.5Attending to Discriminative Certainty for Domain Adaptation
MEDM89.2Entropy Minimization vs. Diversity Maximization for Domain Adaptation
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Domain Adaptation On Office 31 | SOTA | HyperAI