2 papers
cs.CV2020
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
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…