Domain Adaptation On Visda2017

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Accuracy	Paper Title	Repository
CDAN	73.7	Conditional Adversarial Domain Adaptation
CRST	78.1	Confidence Regularized Self-Training
CAN	87.2	Contrastive Adaptation Network for Unsupervised Domain Adaptation
MCC+NWD	83.7	Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
SWG	92.7	Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
PMtrans	88.8	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	-
FixBi	87.2	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
SENTRY (ResNet50)	76.7	SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
JAN	58.3	Deep Transfer Learning with Joint Adaptation Networks
SFDA2++	89.6	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
CPGA	86.0	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Mean teacher	85.4	Self-ensembling for visual domain adaptation
DeepJDOT	66.9	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
CoVi	88.5	Contrastive Vicinal Space for Unsupervised Domain Adaptation
DePT	90.7	Visual Prompt Tuning for Test-time Domain Adaptation	-
CDTrans	88.4	CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
SFDA2	88.1	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
dSNE	86.15	d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
MIC	92.8	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
RCL	93.2	Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning

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