@inproceedings{88d0fb2f61274e369b3852289b973c0e,
title = "An Improved BoxInst Model for Plane Instance Segmentation in Remote Sensing Images",
abstract = "When traditional instance segmentation model is applied to the plane target in the remote sensing image, high-frequency co-occurrence background is easy to appear, which affects the segmentation precision. To solve this problem, this paper proposes an improved BoxInst model for the plane segmentation in remote sensing images. The improved model suppress high-frequency co-occurrence background by introducing background constraint loss. Foreground constraint loss is proposed to avoid trivial solutions caused by the background constraint loss. The improved model is verified on the plane data set, and the average precision of the proposed model is improved by 6% compared with the original BoxInst model.",
keywords = "BoxInst, constraint loss, instance segmentation, remote sensing image",
author = "Shangzheng Jiang and Qingzhong Jia and Fengkun Luo and Tao Yang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021 ; Conference date: 18-06-2021 Through 20-06-2021",
year = "2021",
month = jun,
day = "18",
doi = "10.1109/IMCEC51613.2021.9482135",
language = "English",
series = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1694--1699",
editor = "Bing Xu",
booktitle = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",
address = "United States",
}