Startseite Neuigkeiten Neueste Forschungsarbeiten Tutorials Datensätze Wiki SOTA LLM-Modelle GPU-Rangliste Veranstaltungen

Deutsch

Unsupervised Domain Adaptation On Visda2017

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Accuracy	Paper Title	Repository
PDA (CLIP, ViT-B/16)	89.7	Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
DeepJDOT	66.9	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
Implicit Alignment (with MDD)	75.8	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
PMTrans	88.8	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	-
DisClusterDA	-	Unsupervised Domain Adaptation via Distilled Discriminative Clustering
TransAdapter	91.2	TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation	-
SSRT-B (ours)	88.76	Safe Self-Refinement for Transformer-based Domain Adaptation
RCL	93.2	Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning
SAMB	90.41	Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation
SFDA2	88.1	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
PDA (CLIP, ResNet-101)	86.4	Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
SFDA2++	89.6	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
FFTAT	93.8	Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation

0 of 13 row(s) selected.