Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

1 October 2015

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

50 / 86 papers shown

Title
Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images Boyang Deng Songyou Peng Kyle Genova Gordon Wetzstein Noah Snavely Leonidas J. Guibas Thomas Funkhouser HAI 202 0 0 11 Apr 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing Tao Bai Xingjian Tian Yonghao Xu Bihan Wen AAML 43 0 0 20 Jan 2025
Predicting household socioeconomic position in Mozambique using satellite and household imagery Carles Milà Teodimiro Matsena Edgar Jamisse Jovito Nunes Quique Bassat Paula Petrone Elisa Sicuri Charfudin Sacoor Cathryn Tonne 26 0 0 13 Nov 2024
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand Hari Prabhat Gupta Rahul Mishra 36 3 0 09 Oct 2024
Active Statistical Inference Tijana Zrnic Emmanuel J. Candès 26 10 0 05 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 29 3 0 29 Feb 2024
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks Hamid Sarmadi Thorsteinn Rögnvaldsson Nils Roger Carlsson Mattias Ohlsson Ibrahim Wahab Ola Hall 26 1 0 01 Dec 2023
Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models Joan Nwatu Oana Ignat Rada Mihalcea 26 10 0 09 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders A. Fuller K. Millard James R. Green 29 60 0 01 Nov 2023
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning Ethan Brewer Giovani Valdrighi Antonio Longa Joao Rulff Andrea Passerini Zhonghui Lv Manfred Jaeger Claudio Silva 21 0 0 28 Sep 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting Benjamin Q. Huynh M. Kiang AI4CE 32 0 0 28 Jul 2023
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India Atharva Kulkarni Raya Das R. Srivastava Tanmoy Chakraborty 9 2 0 27 Apr 2023
Machine Learning for Economics Research: When What and How? Ajit Desai 14 2 0 31 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 38 3 0 25 Mar 2023
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning U. Nazir M. Taj M. Uppal S. Khalid 13 1 0 21 Mar 2023
Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia O. Shah K. Tallam 19 3 0 28 Feb 2023
A Topic Modeling Approach to Classifying Open Street Map Health Clinics and Schools in Sub-Saharan Africa Joshua W. Anderson Luis Iñaki Alberro Encina T. G. Karippacheril Jonathan Hersh Cadence Stringer 8 0 0 22 Dec 2022
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models Utkarsh Singhal Stella X. Yu Zackery Steck Scott Kangas Aaron A. Reite 18 3 0 21 Nov 2022
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park A. Madry 39 37 0 12 Jul 2022
When does Bias Transfer in Transfer Learning? Hadi Salman Saachi Jain Andrew Ilyas Logan Engstrom Eric Wong A. Madry 44 34 0 06 Jul 2022
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning S. Gulyanon W. Limprasert Pokpong Songmuang R. Kongkachandra SSL 11 1 0 28 May 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 24 8 0 02 Mar 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective Shanshan Wang Lei Zhang Pichao Wang 41 23 0 19 Feb 2022
ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights Rushabh Musthyala Rudrajit Kargupta Hritish Jain D. Chakraborty 11 0 0 19 Jan 2022
Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie ... Kate Saenko Tatsunori Hashimoto Sergey Levine Chelsea Finn Percy Liang OOD 18 98 0 09 Dec 2021
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks Varun Chitturi Zaid Nabulsi 32 7 0 30 Nov 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping Rahul Ghosh X. Jia Chenxi Lin Zhenong Jin Vipin Kumar SSL 35 9 0 16 Aug 2021
Continental-Scale Building Detection from High Resolution Satellite Imagery Wojciech Sirko S. Kashubin Marvin Ritter Abigail Annkah Yasser Salah Edine Bouchareb Yann N. Dauphin Daniel Keysers Maxim Neumann Moustapha Cissé John Quinn 17 170 0 26 Jul 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng Kui Jia Lei Zhang CLL 28 10 0 18 Jun 2021
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping Rahul Ghosh Praveen Ravirathinam X. Jia Chenxi Lin Zhenong Jin Vipin Kumar AI4TS 14 11 0 02 May 2021
An Efficient Method for the Classification of Croplands in Scarce-Label Regions H. Ghaffari 14 1 0 17 Mar 2021
Land Cover Mapping in Limited Labels Scenario: A Survey Rahul Ghosh X. Jia Vipin Kumar 36 6 0 03 Mar 2021
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery Saba Dadsetan G. Rose N. Hovakimyan Jennifer Hobbs 35 7 0 17 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 101 1,383 0 14 Dec 2020
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang Haoze Song OOD 53 69 0 10 Dec 2020
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 171 62 0 08 Dec 2020
Deep-learning coupled with novel classification method to classify the urban environment of the developing world Q. Cheng A. K. M. Mahbubur Rahman Anis Sarker Siddik Nayem Ovi Paul A. Ali M. A. Amin Ryosuke Shibasaki M. Zaber 15 2 0 25 Nov 2020
Efficient Conditional Pre-training for Transfer Learning Shuvam Chakraborty Burak Uzkent Kumar Ayush Kumar Tanmay Evan Sheehan Stefano Ermon VLM 26 17 0 20 Nov 2020
Wheat Crop Yield Prediction Using Deep LSTM Model Sagarika Sharma Sujit Rai N. C. Krishnan 16 26 0 03 Nov 2020
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 95 122 0 16 Oct 2020
Using satellite imagery to understand and promote sustainable development Marshall Burke Anne Driscoll David B. Lobell Stefano Ermon 12 311 0 23 Sep 2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization K. Nikolaidis Stein Kristiansen T. Plagemann V. Goebel Knut Liestøl ... G. Traaen Britt Overland Harriet Akre L. Aakerøy S. Steinshamn 6 4 0 21 Sep 2020
Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth Konstantin Klemmer Godwin Yeboah J. Albuquerque Stephen Jarvis 6 9 0 17 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 27 208 0 02 Sep 2020
Large-scale Transfer Learning for Low-resource Spoken Language Understanding X. Jia Jianzong Wang Zhiyong Zhang Ning Cheng Jing Xiao 19 17 0 13 Aug 2020
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios Xiong Zhou S. Prasad AAML 14 9 0 16 Jul 2020
Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning R. Balaniuk Olga Isupova S. Reece 9 49 0 02 Jul 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture Hao Sheng Xiao Chen Jingyi Su Ram Rajagopal Andrew Y. Ng 26 31 0 07 May 2020
Meta-Learning for Few-Shot Land Cover Classification M. Rußwurm Sherrie Wang Marco Körner David B. Lobell 17 83 0 28 Apr 2020
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions Francesco Sovrano M. Palmirani F. Vitali 13 26 0 01 Apr 2020