Generating Interpretable Poverty Maps using Object Detection in
Satellite Images

Generating Interpretable Poverty Maps using Object Detection in Satellite Images

5 February 2020

David B. Lobell

Papers citing "Generating Interpretable Poverty Maps using Object Detection in Satellite Images"

19 / 19 papers shown

Title
Efficient Object Detection in Large Images using Deep Reinforcement Learning Burak Uzkent Christopher Yeh Stefano Ermon ObjD 25 92 0 09 Dec 2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia Burak Uzkent Evan Sheehan Chenlin Meng Zhongyi Tang Marshall Burke David B. Lobell Stefano Ermon SSL 39 30 0 07 May 2019
Predicting Economic Development using Geolocated Wikipedia Articles Evan Sheehan Chenlin Meng M. Tan Burak Uzkent Neal Jean David B. Lobell Marshall Burke Stefano Ermon 29 78 0 05 May 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 90 1,428 0 14 Jan 2019
Learning to Interpret Satellite Images Using Wikipedia Evan Sheehan Burak Uzkent Chenlin Meng Zhongyi Tang Marshall Burke David B. Lobell Stefano Ermon 34 37 0 19 Sep 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 32 21,306 0 08 Apr 2018
xView: Objects in Context in Overhead Imagery Darius Lam Richard Kuzma Kevin McGee Samuel Dooley Michael Laielli Matthew K. Klaric Yaroslav Bulatov Brendan McCord ObjD 24 322 0 22 Feb 2018
Consistent Individualized Feature Attribution for Tree Ensembles Scott M. Lundberg G. Erion Su-In Lee FAtt TDI 43 1,379 0 12 Feb 2018
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters Burak Uzkent Aneesh Rangnekar Matthew J. Hoffman 26 113 0 20 Nov 2017
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning Anthony Perez Christopher Yeh G. Azzari Marshall Burke David B. Lobell Stefano Ermon 30 61 0 10 Nov 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 74 2,993 0 07 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 194 21,459 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 325 3,742 0 28 Feb 2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Erez Aiden Lieberman Li Fei-Fei HAI 95 415 0 22 Feb 2017
DSSD : Deconvolutional Single Shot Detector Cheng-Yang Fu Wen Liu A. Ranga A. Tyagi Alexander C. Berg ObjD 64 1,909 0 23 Jan 2017
Beyond Skip Connections: Top-Down Modulation for Object Detection Abhinav Shrivastava Rahul Sukthankar Jitendra Malik Abhinav Gupta ObjD 54 320 0 20 Dec 2016
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 370 21,951 0 09 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 901 192,638 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 106 29,646 0 08 Dec 2015