HyperAI
HyperAI
Startseite
Plattform
Dokumentation
Neuigkeiten
Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Nutzungsbedingungen
Datenschutzrichtlinie
Deutsch
HyperAI
HyperAI
Toggle Sidebar
Seite durchsuchen…
⌘
K
Command Palette
Search for a command to run...
Plattform
Startseite
SOTA
Domain-Anpassung
Domain Adaptation On Office 31
Domain Adaptation On Office 31
Metriken
Average Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Average Accuracy
Paper Title
FFTAT
96.0
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
PMTrans
95.3
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
CMKD
94.4
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
SSRT-B (ours)
93.5
Safe Self-Refinement for Transformer-based Domain Adaptation
CDTrans
92.6
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CoVi
91.8
Contrastive Vicinal Space for Unsupervised Domain Adaptation
GSDE
91.7
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
FixBi
91.4
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Contrastive Adaptation Network
90.6
Contrastive Adaptation Network for Unsupervised Domain Adaptation
BIWAA
90.5
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
ELS
90.4
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
DALN
90.4
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
dSNE
90.01
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
ASAN
90.0
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
SFDA2
89.9
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
CPGA
89.9
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
MDAIR
89.8
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
SPL
89.6
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
CADA-P
89.5
Attending to Discriminative Certainty for Domain Adaptation
MEDM
89.2
Entropy Minimization vs. Diversity Maximization for Domain Adaptation
0 of 40 row(s) selected.
Previous
Next