1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
Seungwon Seo, Suho Lee, Sangheum Hwang
Utilizing large-scale pretrained models is a well-known strategy to enhance performance on various target tasks. It is typically achieved through fine-tuning pretrained models on t…
cs.CV2023★ 1 cited
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
Suho Lee, Seungwon Seo, Jihyo Kim +2
Recently, source-free unsupervised domain adaptation (SFUDA) has emerged as a more practical and feasible approach compared to unsupervised domain adaptation (UDA) which assumes th…