455 citations · 1.3k across the 21 of their papers we have counts for
3 papers · 1 filter
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
Gabriel Tjio, Ping Liu, Yawei Luo +2
This work addresses the challenging domain adaptation setting in which knowledge from the labelled source domain dataset is available only from the pretrained black-box segmentatio…
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation
Gabriel Tjio, Ping Liu, Chee-Keong Kwoh +1
Obtaining sufficient labeled data for training deep models is often challenging in real-life applications. To address this issue, we propose a novel solution for single-source doma…
Label-efficient Time Series Representation Learning: A Review
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +3
Label-efficient time series representation learning, which aims to learn effective representations with limited labeled data, is crucial for deploying deep learning models in real-…