Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

18 September 2017

Papers citing "Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks"

28 / 28 papers shown

Title
Body Segmentation Using Multi-task Learning Julijan Jug Ajda Lampe Vitomir Štruc Peter Peer 3DH 71 2 0 13 Dec 2022
BuildMapper: A Fully Learnable Framework for Vectorized Building Contour Extraction Shiqing Wei Tao Zhang Shunping Ji M. Luo J. Gong 70 60 0 07 Nov 2022
OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images Weijia Li Yawen Lai Linning Xu Yuanbo Xiangli Jinhua Yu Conghui He Guisong Xia Dahua Lin ObjD 92 17 0 01 Aug 2022
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training Qingyu Li Yilei Shi Xiao Xiang Zhu 37 25 0 17 May 2022
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images Somrita Chattopadhyay A. Kak 70 4 0 10 Dec 2021
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data L. E. L. Rosa Camile Sothe R. Feitosa C. Almeida M. B. Schimalski Dario Augusto Borges Oliveira 51 43 0 01 Jun 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task Darwin Saire Adín Ramirez Rivera 52 5 0 28 May 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 134 62 0 27 Apr 2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation Suraj Mishra Danny Chen Sharon Hu 36 6 0 17 Apr 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 355 1,945 0 12 Nov 2020
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning Federico Amato Fabian Guignard Sylvain Robert M. Kanevski AI4Cl AI4CE 80 3 0 23 Jul 2020
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery Ali Hatamizadeh Debleena Sengupta Demetri Terzopoulos 103 44 0 22 Jul 2020
SegFix: Model-Agnostic Boundary Refinement for Segmentation Yuhui Yuan Jingyi Xie Xilin Chen Jingdong Wang ISeg 171 198 0 08 Jul 2020
Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Network Kang Zhao Muhammad Kamran Gunho Sohn 116 11 0 23 Jun 2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails Joshua J. Levy Rebecca M. Lebeaux A. Hoen B. Christensen L. Vaickus T. A. MacKenzie 30 1 0 05 Mar 2020
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF) Qingyu Li Yilei Shi Xin Huang Xiaoxiang Zhu 92 65 0 11 Feb 2020
SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery Xin Hou Biao Wang Wanqi Hu Lei Yin Haishan Wu SSeg 61 40 0 08 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 186 685 0 16 Oct 2019
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation Fernando Navarro Suprosanna Shit Ivan Ezhov Johannes C. Paetzold A. Gafita J. Peeken Stephanie E. Combs Bjoern Menze 91 63 0 14 Aug 2019
Learning to segment microscopy images with lazy labels Rihuan Ke Aurélie Bugeau Nicolas Papadakis Peter Schütz Carola-Bibiane Schönlieb 53 10 0 20 Jun 2019
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images Junxing Hu Ling X. Li Yijun Lin Fengge Wu Junsuo Zhao 61 27 0 24 May 2019
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation Shusil Dangi Cristian A. Linte Z. Yaniv 67 70 0 04 Jan 2019
$Multi$^{\mathbf{3}}$Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery$ Multi $^{\mathbf{3}}$ Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery Tim G. J. Rudner M. Rußwurm Jakub Fil R. Pelich B. Bischke V. Kopačková Piotr Bilinski AI4CE 59 105 0 05 Dec 2018
Cross-connected Networks for Multi-task Learning of Detection and Segmentation Seiichiro Fukuda Ryota Yoshihashi Rei Kawakami Shaodi You M. Iida T. Naemura 33 16 0 15 May 2018
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation Kai Yue Lei Yang Ruirui Li Wei Hu Fan Zhang Wei Li SSeg 49 4 0 29 Apr 2018
Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets A. Khalel M. El-Saban 40 49 0 13 Mar 2018
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation V. Iglovikov Alexey A. Shvets SSeg 56 613 0 17 Jan 2018
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 162 1,839 0 31 Aug 2017