35 citations · 80 across the 7 of their papers we have counts for
5 papers · 1 filter
Oriented Objects as pairs of Middle Lines
Haoran Wei, Yue Zhang, Zhonghan Chang +3
The detection of oriented objects is frequently appeared in the field of natural scene text detection as well as object detection in aerial images. Traditional detectors for orient…
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
Haoran Wei, Yue Zhang, Bing Wang +3
Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection. These DCNNs based detectors mainly…
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Tengfei Zhang, Yue Zhang, Xian Sun +3
Deep learning based object detection has achieved great success. However, these supervised learning methods are data-hungry and time-consuming. This restriction makes them unsuitab…
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang, Yue Zhang, Xian Sun +4
The current advances in object detection depend on large-scale datasets to get good performance. However, there may not always be sufficient samples in many scenarios, which leads…
Wider Channel Attention Network for Remote Sensing Image Super-resolution
Jun Gu, Guangluan Xu, Yue Zhang +3
Recently, deep convolutional neural networks (CNNs) have obtained promising results in image processing tasks including super-resolution (SR). However, most CNN-based SR methods tr…