Qingxuan Lv

LaFea: Learning Latent Representation Beyond Feature for Universal Domain Adaptation

2023 · IEEE Transactions on Circuits and Systems for Video Technology

Universal Domain Adaptation (UniDA) is a recent advent problem that aims to transfer the knowledge from the source domain to the target domain without any prior knowledge on label sets. The main challenge is to …

HG-SFDA: HyperGraph Learning Meets Source-Free Unsupervised Domain Adaptation

2025 · IEEE Transactions on Image Processing

Source-Free unsupervised Domain Adaptation (SFDA) aims to classify target samples by only accessing a pre-trained source model and unlabelled target samples. Since no source data is available, transferring the knowledge from the source domain to …