BiSeNet has been proved to be a popular two-stream network for real-time segmentation.
Ranked #8 on Real-Time Semantic Segmentation on Cityscapes test
In this paper, we propose a novel Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition.
Knowledge distillation (KD) is widely used for training a compact model with the supervision of another large model, which could effectively improve the performance.
The present study collects and evaluates these effective training tricks in person ReID.
Ranked #38 on Person Re-Identification on DukeMTMC-reID
no code implementations • 9 May 2019 • Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei
However, previous competitions on facial landmark localization (i. e., the 300-W, 300-VW and Menpo challenges) aim to predict 68-point landmarks, which are incompetent to depict the structure of facial components.
In the literature, some effective training tricks are briefly appeared in several papers or source codes.
Ranked #2 on Person Re-Identification on UAV-Human