Deep Active Learning for Remote Sensing Object Detection

no code implementations • 17 Mar 2020 • Zhenshen Qu, Jingda Du, Yong Cao, Qiuyu Guan, Pengbo Zhao

Recently, CNN object detectors have achieved high accuracy on remote sensing images but require huge labor and time costs on annotation.

Active Learning Object +2

PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection

no code implementations • 29 Oct 2018 • Zhenshen Qu, Jianxiong Shen, Ruikun Li, Junyu Liu, Qiuyu Guan

Defect detection is a basic and essential task in automatic parts production, especially for automotive engine precision parts.

Defect Detection Segmentation