102 citations · 116 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 102 cited
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images
Pengbo Zhao, Zhenshen Qu, Yingjia Bu +3
Fast and precise object detection for high-resolution aerial images has been a challenging task over the years. Due to the sharp variations on object scale, rotation, and aspect ra…
cs.CV2020★ 12 cited
Deep Active Learning for Remote Sensing Object Detection
Zhenshen Qu, Jingda Du, Yong Cao +2
Recently, CNN object detectors have achieved high accuracy on remote sensing images but require huge labor and time costs on annotation. In this paper, we propose a new uncertainty…
cs.CV2018★ 2 cited
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection
Zhenshen Qu, Jianxiong Shen, Ruikun Li +2
Defect detection is a basic and essential task in automatic parts production, especially for automotive engine precision parts. In this paper, we propose a new idea to construct a…