GRFB-UNet: A new multi-scale attention network with group receptive field block for tactile paving segmentation

分割 计算机科学 人工智能 块(置换群论) 稳健性(进化) 感受野 卷积(计算机科学) 计算机视觉 模式识别(心理学) 人工神经网络 数学 几何学 生物化学 基因 化学
作者
Xingli Zhang,Lei Liang,Shenglu Zhao,Zhihui Wang
出处
期刊:Expert Systems With Applications [Elsevier BV]
卷期号:238: 122109-122109 被引量:11
标识
DOI:10.1016/j.eswa.2023.122109
摘要

Tactile paving plays a crucial role in the travel of visually impaired, and assists them to find the way forward. Therefore, it is quite meaningful to identify the regions and trends of tactile paving to support the independent walking of the visually impaired. Visual segmentation technology shows potential to segment the regions of tactile paving, and the shapes of these regions can be used to further check the road trends. To effectively improve the accuracy and robustness of tactile paving segmentation, a novel tactile paving segmentation method that combines UNet network and multi-scale feature extraction is proposed in this work. The structure of group receptive field block (GRFB) has been embedded into the basic UNet network to obtain multi-scale receptive fields of the tactile paving. Aiming to enhance the computational efficiency, the strategy of group convolution is adopted to combine with GRFB module. Meanwhile, small-scale convolution is used after each group convolution to achieve cross-channel information interaction and integration, aiming to extract more abundant high-level features. In this paper, we have constructed the dataset of tactile paving in various scenarios, and labeled them for experimental evaluation. Furthermore, a comparative analysis with the typical networks and structure modules has been demonstrated in details. The experimental results show that the proposed network achieves the best overall performance among those compared networks on tactile paving segmentation, and provides a valuable reference for the segmentation of tactile paving.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
123完成签到,获得积分10
刚刚
完美梨愁发布了新的文献求助10
1秒前
淡淡博完成签到 ,获得积分10
1秒前
wjxcl发布了新的文献求助10
1秒前
3秒前
sdl发布了新的文献求助10
3秒前
emmm完成签到 ,获得积分10
4秒前
十三发布了新的文献求助10
4秒前
5秒前
5秒前
liangmh完成签到,获得积分10
5秒前
一二不休完成签到,获得积分10
5秒前
123发布了新的文献求助10
6秒前
8秒前
ding应助黑熊安巴尼采纳,获得10
9秒前
Ava应助wjxcl采纳,获得10
9秒前
闪闪如南发布了新的文献求助10
9秒前
深情安青应助一二不休采纳,获得10
10秒前
12秒前
123完成签到,获得积分10
12秒前
不扯先生完成签到,获得积分10
13秒前
柳絮完成签到,获得积分20
14秒前
lll完成签到,获得积分10
14秒前
sdl完成签到,获得积分10
14秒前
Orange应助孟婆的碗采纳,获得10
15秒前
zhangmy1989发布了新的文献求助30
15秒前
15秒前
清秀的不言完成签到 ,获得积分10
15秒前
杂化轨道退役研究员完成签到,获得积分10
15秒前
FashionBoy应助tanglu采纳,获得10
16秒前
17秒前
闪闪如南完成签到,获得积分10
18秒前
wjxcl完成签到,获得积分10
19秒前
19秒前
19秒前
12233完成签到,获得积分10
20秒前
20秒前
洪武完成签到,获得积分20
20秒前
21秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038569
求助须知:如何正确求助?哪些是违规求助? 3576279
关于积分的说明 11374944
捐赠科研通 3305979
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892698
科研通“疑难数据库(出版商)”最低求助积分说明 815048