most citedFew-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 1 cited

Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation

Jiazhi Xu, Sheng Huang, Fengtao Zhou +3

Multi-Label Image Classification (MLIC) approaches usually exploit label correlations to achieve good performance. However, emphasizing correlation like co-occurrence may overlook…

cs.CV2021★ 9 cited

Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding

Shengqi Huang, Wanqi Yang, Lei Wang +2

This paper investigates a valuable setting called few-shot unsupervised domain adaptation (FS-UDA), which has not been sufficiently studied in the literature. In this setting, the…