4 citations · 7 across the 2 of their papers we have counts for
5 papers · 1 filter
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
Xinzheng Zhang, Hang Su, Ce Zhang +3
Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detect…
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
Xinzheng Zhang, Hang Su, Ce Zhang +4
In this research, a novel robust change detection approach is presented for imbalanced multi-temporal synthetic aperture radar (SAR) image based on deep learning. Our main contribu…
Biometrics Recognition Using Deep Learning: A Survey
Shervin Minaee, Amirali Abdolrashidi, Hang Su +2
Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks…
Open Logo Detection Challenge
Hang Su, Xiatian Zhu, Shaogang Gong
Existing logo detection benchmarks consider artificial deployment scenarios by assuming that large training data with fine-grained bounding box annotations for each class are avail…
Scalable Deep Learning Logo Detection
Hang Su, Shaogang Gong, Xiatian Zhu
Existing logo detection methods usually consider a small number of logo classes and limited images per class with a strong assumption of requiring tedious object bounding box annot…