16 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 16 cited
TOOD: Task-aligned One-stage Object Detection
Chengjian Feng, Yujie Zhong, Yu Gao +2
One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to…
cs.CV2021★ 6 cited
Exploring Classification Equilibrium in Long-Tailed Object Detection
Chengjian Feng, Yujie Zhong, Weilin Huang
The conventional detectors tend to make imbalanced classification and suffer performance drop, when the distribution of the training data is severely skewed. In this paper, we prop…
cs.LG2018
Domain Confusion with Self Ensembling for Unsupervised Adaptation
Jiawei Wang, Zhaoshui He, Chengjian Feng +4
Data collection and annotation are time-consuming in machine learning, expecially for large scale problem. A common approach for this problem is to transfer knowledge from a relate…