14 citations · 18 across the 5 of their papers we have counts for
5 papers
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
Zhuoyan Luo, Yicheng Xiao, Yong Liu +5
This paper studies referring video object segmentation (RVOS) by boosting video-level visual-linguistic alignment. Recent approaches model the RVOS task as a sequence prediction pr…
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
mengqun Jin, Kai Li, Shuyan Li +2
Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research topic that extends from the widely-investigated Unsupervised Domain Adaptation (UDA) by further having a fe…
SSGD: A smartphone screen glass dataset for defect detection
Haonan Han, Rui Yang, Shuyan Li +2
Interactive devices with touch screen have become commonly used in various aspects of daily life, which raises the demand for high production quality of touch screen glass. While i…
SemanticAC: Semantics-Assisted Framework for Audio Classification
Yicheng Xiao, Yue Ma, Shuyan Li +3
In this paper, we propose SemanticAC, a semantics-assisted framework for Audio Classification to better leverage the semantic information. Unlike conventional audio classification…
Adversarial Alignment for Source Free Object Detection
Qiaosong Chu, Shuyan Li, Guangyi Chen +2
Source-free object detection (SFOD) aims to transfer a detector pre-trained on a label-rich source domain to an unlabeled target domain without seeing source data. While most exist…