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FloorLevel-Net: Recognizing Floor-Level Lines with
  Height-Attention-Guided Multi-task Learning

FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning

6 July 2021
Mengyang Wu
Wei Zeng
Chi-Wing Fu
ArXivPDFHTML

Papers citing "FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning"

9 / 9 papers shown
Title
Building Floor Number Estimation from Crowdsourced Street-Level Images: Munich Dataset and Baseline Method
Y. Sun
Sining Chen
Y. Tian
X. X. Zhu
3DV
45
0
0
23 May 2025
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via
  Height-driven Attention Networks
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
Sungha Choi
J. Kim
Jaegul Choo
SSeg
160
156
0
11 Mar 2020
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang
Xinggang Wang
Yunchao Wei
Lichao Huang
Humphrey Shi
Wenyu Liu
Chang Huang
VOS
212
2,546
0
28 Nov 2018
Learning a Discriminative Feature Network for Semantic Segmentation
Learning a Discriminative Feature Network for Semantic Segmentation
Changqian Yu
Jingbo Wang
Chao Peng
Changxin Gao
Gang Yu
Nong Sang
SSeg
50
761
0
25 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
432
13,132
0
07 Feb 2018
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
658
12,007
0
04 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,609
0
06 Apr 2016
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
276
355
0
18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
207
2,679
0
18 Nov 2014
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