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Height estimation from single aerial images using a deep ordinal
  regression network

Height estimation from single aerial images using a deep ordinal regression network

4 June 2020
Xiang Li
Mingyang Wang
Yi Fang
ArXivPDFHTML

Papers citing "Height estimation from single aerial images using a deep ordinal regression network"

11 / 11 papers shown
Title
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
F. Wagner
Ricardo Dalagnol
Griffin Carter
Mayumi C. M. Hirye
Shivraj Gill
...
Sarah R Worden
Martin Brandt
P. Ciais
Stephen C Hagen
Sassan Saatchi
AI4CE
58
1
0
17 Jan 2025
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
444
42,393
0
03 Dec 2019
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction
  for Autonomous Driving
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
Xinzhu Ma
Zhihui Wang
Haojie Li
Pengbo Zhang
Xin Fan
Wanli Ouyang
3DPC
69
300
0
27 Mar 2019
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
474
1,728
0
06 Jun 2018
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully
  Residual Convolutional-Deconvolutional Network
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network
Lichao Mou
Xiaoxiang Zhu
MDE
60
120
0
28 Feb 2018
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal
  Deep Networks
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
82
514
0
23 Nov 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
225
8,468
0
17 Jun 2017
Fusion of Heterogeneous Data in Convolutional Networks for Urban
  Semantic Labeling (Invited Paper)
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
36
35
0
20 Jan 2017
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,441
0
23 Nov 2015
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
205
2,679
0
18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
214
4,054
0
09 Jun 2014
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