19 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.LG2021
DAMSL: Domain Agnostic Meta Score-based Learning
John Cai, Bill Cai, Shengmei Shen
In this paper, we propose Domain Agnostic Meta Score-based Learning (DAMSL), a novel, versatile and highly effective solution that delivers significant out-performance over state-o…
cs.CV2020★ 4 cited
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
John Cai, Bill Cai, Sheng Mei Shen
While many deep learning methods have seen significant success in tackling the problem of domain adaptation and few-shot learning separately, far fewer methods are able to jointly…
cs.CV2020★ 19 cited
Cross-Domain Few-Shot Learning with Meta Fine-Tuning
John Cai, Sheng Mei Shen
In this paper, we tackle the new Cross-Domain Few-Shot Learning benchmark proposed by the CVPR 2020 Challenge. To this end, we build upon state-of-the-art methods in domain adaptat…