Domain Adaptation On Office 31

评估指标

Average Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称
Average Accuracy
Paper TitleRepository
d-SNE81.63Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol-
DAOD85.4Open Set Domain Adaptation: Theoretical Bound and Algorithm-
MRKLD + LRENT86.8Confidence Regularized Self-Training-
CMKD94.4Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
DADA89Discriminative Adversarial Domain Adaptation-
GTA86.5Generate To Adapt: Aligning Domains using Generative Adversarial Networks-
PMTrans95.3Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective-
CAADA78.3Correlation-aware Adversarial Domain Adaptation and Generalization-
rRevGrad+CAT80.1Cluster Alignment with a Teacher for Unsupervised Domain Adaptation-
IDDA(Alexnet)78.5Looking back at Labels: A Class based Domain Adaptation Technique-
SHOT88.6Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation-
CDTrans92.6CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation-
FixBi91.4FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation-
BIWAA90.5Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
SFDA289.9SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation-
SRDA (RAN)73.5Learning Smooth Representation for Unsupervised Domain Adaptation-
IDDA (AlexNet)78.5Looking back at Labels: A Class based Domain Adaptation Technique-
dSNE90.01d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
ELS90.4Free Lunch for Domain Adversarial Training: Environment Label Smoothing-
ResNet-5076.1Deep Residual Learning for Image Recognition-
0 of 40 row(s) selected.