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Universal Domain Adaptation on VisDA

70.53Accuracydivergence optimization framework
12.716427.725742.73557.7443Apr 1, 2021

Evaluation results

MethodLinks
divergence optimization frameworkNoise Type=S202021.0470.53—
divergence optimization frameworkNoise Type=P202021.0467.27—
DANCEselNoise Type=P202021.0463.93—
DANCEselNoise Type=S202021.0462.97—
TCLNoise Type=P202021.0462.96—
ETNNoise Type=S202021.0462.17—
TCLNoise Type=S202021.0461.26—
ETNNoise Type=P202021.0458.99—
divergence optimization frameworkNoise Type=S452021.0457.82—
DANCENoise Type=P202021.0457.38—
ETNNoise Type=S452021.0455.83—
UANNoise Type=P202021.0453.93—
UANNoise Type=S202021.0453.25—
TCLNoise Type=S452021.0452.96—
DANCEselNoise Type=S452021.0452.32—
STANoise Type=S202021.0452.17—
divergence optimization frameworkNoise Type=P452021.0448.25—
UANNoise Type=S452021.0447.7—
SONoise Type=P202021.0444.57—
ETNNoise Type=P452021.0444.36—
DANCEselNoise Type=P452021.0443.91—
TCLNoise Type=P452021.0443.31—
UANNoise Type=P452021.0442.6—
STANoise Type=S452021.0442.32—
STANoise Type=P202021.0441.62—
STANoise Type=P452021.0441.5—
DANCENoise Type=P452021.0441.45—
SONoise Type=P452021.0438.41—
SONoise Type=S202021.0426.51—
DANCENoise Type=S202021.0424.3—
SONoise Type=S452021.0415.39—
DANCENoise Type=S452021.0414.94—
DANCEBackbone=ResNet-502025.06—42.8
DANCEBackbone=CLIP2025.06—75.3
DCCBackbone=ResNet-502025.06—43
GATEBackbone=ResNet-502025.06—56.4
GLCBackbone=ResNet-502025.06—73.1
OursBackbone=CLIP2025.06—90.4
OVANetBackbone=ResNet-502025.06—53.1
OVANetBackbone=CLIP2025.06—79.1
SOBackbone=ResNet-502025.06—25.7
SOBackbone=CLIP2025.06—51.8
UniOTBackbone=ResNet-502025.06—57.3
UniOTBackbone=CLIP2025.06—75.3