no code implementations • 8 May 2024 • Cheng Song, Lu Lu, Zhen Ke, Long Gao, Shuai Ding
In this paper, we propose a contrastive learning framework utilizing selective strong augmentation (SSA) for self-supervised gait-based emotion representation, which aims to derive effective representations from limited labeled gait data.
no code implementations • 20 Nov 2021 • Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
To address this challenge, we propose a medical-knowledge-guided one-class classification approach that leverages domain-specific knowledge of classification tasks to boost the model's performance.
no code implementations • 20 Nov 2021 • Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
These methods mainly focus on capturing either compact or descriptive features, where the information of the samples of a given one class is not sufficiently utilized.
1 code implementation • 13 May 2020 • Junfeng Wu, Zhenjie Tang, Congan Xu, Enhai Liu, Long Gao, Wenjun Yan
SRDA-Net can simultaneously achieve the super-resolution task and the domain adaptation task, thus satisfying the requirement of semantic segmentation for remote sensing images which usually involve various resolution images.