咨询与建议

限定检索结果

文献类型

  • 1 篇 期刊文献

馆藏范围

  • 1 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1 篇 工学
    • 1 篇 建筑学
    • 1 篇 土木工程

主题

  • 1 篇 encoder-decoder
  • 1 篇 segmentation
  • 1 篇 deep learning
  • 1 篇 multi-class obje...
  • 1 篇 3d tunnel point-...

机构

  • 1 篇 bentley syst res...
  • 1 篇 harbin inst tech...
  • 1 篇 guangzhou univ s...
  • 1 篇 huazhong univ sc...

作者

  • 1 篇 zhang limao
  • 1 篇 ji ankang
  • 1 篇 chew alvin wei z...
  • 1 篇 xue xiaolong

语言

  • 1 篇 英文
检索条件"主题词=Multi-class object segmentation"
1 条 记 录,以下是1-10 订阅
排序:
An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds
收藏 引用
AUTOMATION IN CONSTRUCTION 2022年 137卷 104187-104187页
作者: Ji, Ankang Chew, Alvin Wei Ze Xue, Xiaolong Zhang, Limao Harbin Inst Technol Sch Management Harbin 150001 Peoples R China Bentley Syst Res Off 1 Harbourfront PlHarbourFront Tower One Singapore 098633 Singapore Guangzhou Univ Sch Management Guangzhou 510006 Peoples R China Huazhong Univ Sci & Technol Sch Civil & Hydraul Engn 1037 Luoyu Rd Wuhan 430074 Hubei Peoples R China
Discovering seepage is widely thought to be critical for maintaining the healthy conditions of the tunnel. Unfortunately, most of the seepage surveys are still manual with tedious, time-consuming, and inefficient as w... 详细信息
来源: 评论