8 citations · 28 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Object Detection with Convolutional Neural Networks
Kaidong Li, Wenchi Ma, Usman Sajid +2
In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN). Several classical CNN-based detectors are pres…
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
Wenju Xu, Yuanwei Wu, Wenchi Ma +1
In this paper, we address the problem of weakly supervised object localization (WSL), which trains a detection network on the dataset with only image-level annotations. The propose…
Unsupervised Deep Feature Transfer for Low Resolution Image Classification
Yuanwei Wu, Ziming Zhang, Guanghui Wang
In this paper, we propose a simple while effective unsupervised deep feature transfer algorithm for low resolution image classification. No fine-tuning on convenet filters is requi…