SDTracker: Synthetic Data Based Multi-Object Tracking

no code implementations • 26 Mar 2023 • Yingda Guan, Zhengyang Feng, Huiying Chang, Kuo Du, TingTing Li, Min Wang

We present SDTracker, a method that harnesses the potential of synthetic data for multi-object tracking of real-world scenes in a domain generalization and semi-supervised fashion.

Domain Generalization Multi-Object Tracking +1

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization

no code implementations • ICLR 2022 • Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang

PL approaches apply pseudo-labels to unlabeled data, and then train the model with a combination of the labeled and pseudo-labeled data iteratively.

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

4 code implementations • CVPR 2021 • Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang

Human pose estimation has achieved significant progress in recent years.

Neural Architecture Search Pose Estimation