FFTAT

Reported on 5 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Domain AdaptationonOffice-31
Average Accuracy· 2024-11-10
96
SOTA
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794
Domain AdaptationonVisDA2017
Accuracy· 2024-11-10
93.8
SOTA
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794
Domain AdaptationonVisDA2017
Accuracy· 2024-11-10
93.8
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794
Domain AdaptationonOffice-Home
Accuracy· 2024-11-10
91.4
best: 92.3 (SWG)
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794

Other2 results

Unsupervised Domain AdaptationonVisDA2017
Accuracy· 2024-11-10
93.8
SOTA
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794
Unsupervised Domain AdaptationonOffice-Home
Accuracy· 2024-11-10
91.4
SOTA
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation arXiv:2411.07794