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Models/RCL

RCL

Reported on 6 benchmarks across 3 tasks · 1 paper · 5 SOTA

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

Methodology5 results

Domain AdaptationonVisDA2017
Accuracy· 2024-05-28
93.2
best: 93.8 (FFTAT)
SOTA
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376
Domain AdaptationonVisDA-2017
Accuracy· 2024-05-28
93.2
SOTA
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376
Domain AdaptationonOffice-Home
Accuracy· 2024-05-28
90
best: 92.3 (SWG)
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376
Domain AdaptationonVisDA2017
Accuracy· 2024-05-28
93.2
best: 93.8 (FFTAT)
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376
Domain AdaptationonOffice-Home
Accuracy· 2024-05-28
90
best: 92.3 (SWG)
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376

Other2 results

Unsupervised Domain AdaptationonVisDA2017
Accuracy· 2024-05-28
93.2
best: 93.8 (FFTAT)
SOTA
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376
Unsupervised Domain AdaptationonOffice-Home
Accuracy· 2024-05-28
90
best: 91.4 (FFTAT)
SOTA
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376

Computer Vision1 result

Source-Free Domain AdaptationonVisDA-2017
Accuracy· 2024-05-28
93.2
SOTA
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning arXiv:2405.18376