Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias

no code implementations • 17 Mar 2024 • Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo

UniSSDA is at the intersection of Universal Domain Adaptation (UniDA) and Semi-Supervised Domain Adaptation (SSDA): the UniDA setting does not allow for fine-grained categorization of target private classes not represented in the source domain, while SSDA focuses on the restricted closed-set setting where source and target label spaces match exactly.

Pseudo Label Semi-supervised Domain Adaptation +1

A comparative study of Grid and Natural sentences effects on Normal-to-Lombard conversion

no code implementations • 19 Sep 2023 • Hongyang Chen, Yuhong Yang, Qingmu Liu, Baifeng Li, Weiping tu, Song Lin

Then We compare natural and grid sentences in terms of Lombard effect and Normal-to-Lombard conversion using LCT and Enhanced MAndarin Lombard Grid corpus (EMALG).

Sentence