74 citations · 124 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 74 cited
Deep Feature Augmentation for Occluded Image Classification
Feng Cen, Xiaoyu Zhao, Wuzhuang Li +1
Due to the difficulty in acquiring massive task-specific occluded images, the classification of occluded images with deep convolutional neural networks (CNNs) remains highly challe…
cs.CV2020★ 42 cited
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Feng Cen, Guanghui Wang
Classification of partially occluded images is a highly challenging computer vision problem even for the cutting edge deep learning technologies. To achieve a robust image classifi…
cs.CV2019★ 8 cited
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
Wenchi Ma, Yuanwei Wu, Feng Cen +1
This paper proposes an innovative object detector by leveraging deep features learned in high-level layers. Compared with features produced in earlier layers, the deep features are…