High-level semantic feature matters few-shot unsupervised domain adaptation

no code implementations • 5 Jan 2023 • Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang

However, the goal of FS-UDA and FSL are relevant yet distinct, since FS-UDA aims to classify the samples in target domain rather than source domain.

Few-Shot Learning Unsupervised Domain Adaptation +1

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

no code implementations • 6 Aug 2021 • Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang

Inspired by the recent local descriptor based few-shot learning (FSL), our general UDA model is fully built upon local descriptors (LDs) for image classification and domain adaptation.

Few-Shot Learning Image Classification +1