HyperAI
HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
التكيف النطاقي
Domain Adaptation On Usps To Mnist
Domain Adaptation On Usps To Mnist
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
Repository
DRANet
97.8
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
-
DFA-MCD
96.6
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
SRDA (RAN)
95.03
Learning Smooth Representation for Unsupervised Domain Adaptation
-
FAMCD
98.75
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy
-
MCD
95.7
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
-
Mean teacher
98.07
Self-ensembling for visual domain adaptation
-
CDAN
98.0
Conditional Adversarial Domain Adaptation
-
DFA-ENT
96.2
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
MCD+CAT
96.3
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
-
CyCleGAN (Light-weight Calibrator)
98.3
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
-
FACT
98.6
FACT: Federated Adversarial Cross Training
-
SHOT
98.4
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
-
3CATN
98.3
Cycle-consistent Conditional Adversarial Transfer Networks
-
DeepJDOT
96.4
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
-
0 of 14 row(s) selected.
Previous
Next
Domain Adaptation On Usps To Mnist | SOTA | HyperAI