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Transfer Learning from Deep Features for Remote Sensing and Poverty
  Mapping

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

1 October 2015
Sang Michael Xie
Neal Jean
Marshall Burke
David B. Lobell
Stefano Ermon
ArXivPDFHTML

Papers citing "Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping"

36 / 86 papers shown
Title
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small
  Dataset
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset
S. H. Shabbeer Basha
Sravan Kumar Vinakota
S. Dubey
Viswanath Pulabaigari
Snehasis Mukherjee
9
4
0
22 Jan 2020
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding
Gencer Sumbul
Jian Kang
Tristan Kreuziger
F. Marcelino
H. Costa
P. Benevides
M. Caetano
Begüm Demir
21
34
0
17 Jan 2020
Artificial Intelligence for Social Good: A Survey
Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi
Claire Wang
Fei Fang
AI4TS
32
81
0
07 Jan 2020
Where Are We? Using Scopus to Map the Literature at the Intersection
  Between Artificial Intelligence and Research on Crime
Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Research on Crime
G. Campedelli
14
21
0
23 Dec 2019
Lightweight and Robust Representation of Economic Scales from Satellite
  Imagery
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Sungwon Han
Donghyun Ahn
Hyunji Cha
Jeasurk Yang
Sungwon Park
M. Cha
27
28
0
18 Dec 2019
Learning Bayesian networks from demographic and health survey data
Learning Bayesian networks from demographic and health survey data
N. K. Kitson
Anthony C. Constantinou
CML
23
23
0
02 Dec 2019
In-domain representation learning for remote sensing
In-domain representation learning for remote sensing
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
SSL
29
62
0
15 Nov 2019
Effective training of deep convolutional neural networks for
  hyperspectral image classification through artificial labeling
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling
Wojciech Masarczyk
P. Głomb
B. Grabowski
M. Ostaszewski
11
3
0
12 Sep 2019
A Survey of Challenges and Opportunities in Sensing and Analytics for
  Cardiovascular Disorders
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders
N. Hurley
E. Spatz
H. Krumholz
R. Jafari
B. Mortazavi
21
1
0
12 Aug 2019
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded
  Labors of Brick Kilns in South Asia
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
U. Nazir
Numan Khurshid
Muhammad Ahmed Bhimra
M. Taj
13
19
0
12 Jul 2019
Predicting Economic Development using Geolocated Wikipedia Articles
Predicting Economic Development using Geolocated Wikipedia Articles
Evan Sheehan
Chenlin Meng
M. Tan
Burak Uzkent
Neal Jean
David B. Lobell
Marshall Burke
Stefano Ermon
13
78
0
05 May 2019
Country-wide high-resolution vegetation height mapping with Sentinel-2
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang
Konrad Schindler
Jan Dirk Wegner
MDE
17
155
0
30 Apr 2019
Deep Landscape Features for Improving Vector-borne Disease Prediction
Deep Landscape Features for Improving Vector-borne Disease Prediction
N. Rehman
U. Saif
R. Chunara
11
17
0
03 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
24
1,282
0
01 Apr 2019
On evaluating CNN representations for low resource medical image
  classification
On evaluating CNN representations for low resource medical image classification
Taruna Agrawal
Rahul Gupta
Shrikanth Narayanan
21
20
0
26 Mar 2019
Manifold Criterion Guided Transfer Learning via Intermediate Domain
  Generation
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Lei Zhang
Shanshan Wang
G. Huang
W. Zuo
Jian Yang
David C. Zhang
6
95
0
25 Mar 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
58
184
0
12 Mar 2019
A Distributionally Robust Optimization Method for Adversarial Multiple
  Kernel Learning
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning
M. B. Khuzani
Hongyi Ren
V. Vasudevan
Lei Xing
OOD
27
2
0
27 Feb 2019
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D
  Joint Position Estimation in a 2D Camera Image using CNN
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN
Justinas Mišeikis
Inka Brijacak
S. Yahyanejad
K. Glette
O. Elle
J. Tørresen
19
10
0
15 Feb 2019
Mapping Informal Settlements in Developing Countries using Machine
  Learning and Low Resolution Multi-spectral Data
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
Bradley Gram-Hansen
P. Helber
I. Varatharajan
F. Azam
Alejandro Coca-Castro
V. Kopačková
Piotr Bilinski
9
55
0
03 Jan 2019
A Dynamic Network and Representation LearningApproach for Quantifying
  Economic Growth fromSatellite Imagery
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery
Jiqian Dong
Gopaljee Atulya
Kartikeya Bhardwaj
R. Marculescu
12
0
0
01 Dec 2018
Transfer Learning with Deep CNNs for Gender Recognition and Age
  Estimation
Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation
Philip Smith
Cuixian Chen
CVBM
14
57
0
18 Nov 2018
Semantic Labeling in Very High Resolution Images via a Self-Cascaded
  Convolutional Neural Network
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Yongcheng Liu
Bin Fan
Lingfeng Wang
Jun Bai
Shiming Xiang
Chunhong Pan
21
253
0
30 Jul 2018
State-of-the-art and gaps for deep learning on limited training data in
  remote sensing
State-of-the-art and gaps for deep learning on limited training data in remote sensing
J. Ball
Derek T. Anderson
Pan Wei
6
9
0
11 Jul 2018
EnTrans:Leveraging Kinetic Energy Harvesting Signal for Transportation
  Mode Detection
EnTrans:Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection
Guohao Lan
Weitao Xu
Dong Ma
Sara Khalifa
Mahbub Hassan
Wen Hu
11
16
0
06 Jul 2018
Infrastructure Quality Assessment in Africa using Satellite Imagery and
  Deep Learning
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
Barak Oshri
A. Hu
P. Adelson
Xiao Chen
P. Dupas
Jeremy Weinstein
Marshall Burke
David B. Lobell
Stefano Ermon
19
71
0
03 Jun 2018
Transfer Learning for Unseen Robot Detection and Joint Estimation on a
  Multi-Objective Convolutional Neural Network
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network
Justinas Mišeikis
Inka Brijacak
S. Yahyanejad
K. Glette
O. Elle
J. Tørresen
12
13
0
30 May 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by
  Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean
Sang Michael Xie
Stefano Ermon
BDL
SSL
15
75
0
26 May 2018
Tile2Vec: Unsupervised representation learning for spatially distributed
  data
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean
Sherrie Wang
Anshul Samar
G. Azzari
David B. Lobell
Stefano Ermon
SSL
11
193
0
08 May 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
10
1,989
0
10 Feb 2018
Adversarial Transfer Learning for Cross-domain Visual Recognition
Adversarial Transfer Learning for Cross-domain Visual Recognition
Shanshan Wang
Lei Zhang
Jingru Fu
OOD
GAN
18
19
0
24 Nov 2017
Machine Learning for the Geosciences: Challenges and Opportunities
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne
I. Ebert‐Uphoff
S. Ravela
H. Babaie
Vipin Kumar
AI4CE
24
388
0
13 Nov 2017
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories,
  Tools and Challenges for the Community
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community
John E. Ball
Derek T. Anderson
Chee Seng Chan
27
521
0
01 Sep 2017
A Deep Learning Approach for Population Estimation from Satellite
  Imagery
A Deep Learning Approach for Population Estimation from Satellite Imagery
Caleb Robinson
Fred Hohman
B. Dilkina
18
85
0
30 Aug 2017
A Unified Model for Near and Remote Sensing
A Unified Model for Near and Remote Sensing
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
25
59
0
09 Aug 2017
Towards Better Exploiting Convolutional Neural Networks for Remote
  Sensing Scene Classification
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Keiller Nogueira
O. A. B. Penatti
J. A. dos Santos
11
829
0
04 Feb 2016
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