{"id":"https://openalex.org/W3133683052","doi":"https://doi.org/10.1609/aaai.v35i1.16101","title":"Predicting Livelihood Indicators from Community-Generated Street-Level Imagery","display_name":"Predicting Livelihood Indicators from Community-Generated Street-Level Imagery","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3133683052","doi":"https://doi.org/10.1609/aaai.v35i1.16101","mag":"3133683052"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v35i1.16101","doi":"https://doi.org/10.1609/aaai.v35i1.16101","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i1.16101","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v35i1.16101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101404825","display_name":"Jihyeon Lee","orcid":"https://orcid.org/0000-0001-8294-3472","observed_orcids":["https://orcid.org/0000-0001-8294-3472","https://orcid.org/0000-0002-8049-405X"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihyeon Lee","raw_affiliation_strings":["Department of Computer Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061417618","display_name":"Dylan Grosz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dylan Grosz","raw_affiliation_strings":["Department of Computer Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023591008","display_name":"Burak Uzkent","orcid":"https://orcid.org/0000-0002-0584-5630","observed_orcids":["https://orcid.org/0000-0002-0584-5630"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burak Uzkent","raw_affiliation_strings":["Department of Computer Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010530555","display_name":"Sicheng Zeng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sicheng Zeng","raw_affiliation_strings":["Department of Computer Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042407637","display_name":"Marshall Burke","orcid":"https://orcid.org/0000-0003-4288-5858","observed_orcids":["https://orcid.org/0000-0003-4288-5858"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marshall Burke","raw_affiliation_strings":["Department of Earth Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026642372","display_name":"David B. Lobell","orcid":"https://orcid.org/0000-0002-5969-3476","observed_orcids":["https://orcid.org/0000-0002-5969-3476","https://orcid.org/0000-0003-0039-2887"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Lobell","raw_affiliation_strings":["Department of Earth Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091179481","display_name":"Stefano Ermon","orcid":"https://orcid.org/0000-0003-0039-2887","observed_orcids":["https://orcid.org/0000-0003-0039-2887"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Ermon","raw_affiliation_strings":["Department of Computer Science, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":11.6924,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.99130705,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"268","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.24660000205039978,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.24660000205039978,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.10189999639987946,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.06109999865293503,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/livelihood-indicators","display_name":"livelihood indicators","score":0.972000002861023},{"id":"https://openalex.org/keywords/street-level-imagery","display_name":"street view images","score":0.9240000247955322},{"id":"https://openalex.org/keywords/poverty-measurement","display_name":"poverty measurement","score":0.6290000081062317},{"id":"https://openalex.org/keywords/household-surveys","display_name":"household surveys","score":0.6589999794960022},{"id":"https://openalex.org/keywords/image-clustering","display_name":"image clustering","score":0.5669999718666077},{"id":"https://openalex.org/keywords/interpretable-models","display_name":"interpretable models","score":0.6340000033378601},{"id":"https://openalex.org/keywords/well-being-measurement","display_name":"well-being measurement","score":0.4909999966621399},{"id":"https://openalex.org/keywords/mapillary","display_name":"Mapillary","score":0.5199999809265137},{"id":"https://openalex.org/keywords/india","display_name":"India","score":0.7009999752044678},{"id":"https://openalex.org/keywords/kenya","display_name":"Kenya","score":1.0}],"concepts":[{"id":"https://openalex.org/C3987366","wikidata":"https://www.wikidata.org/wiki/Q6658164","display_name":"Livelihood","level":3,"score":0.83897864818573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600272536277771},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5999478101730347},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.5410865545272827},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5008320808410645},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4591914713382721},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45498624444007874},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42860424518585205},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3308648467063904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3265115022659302},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17153191566467285},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16237211227416992},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09453299641609192},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1609/aaai.v35i1.16101","doi":"https://doi.org/10.1609/aaai.v35i1.16101","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i1.16101","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.08661","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.08661","pdf_url":"https://arxiv.org/pdf/2006.08661","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ojs.aaai.org:article/16101","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/16101","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16101/15908","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"mag:3034363062","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2006.08661","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2006.08661","doi":"https://doi.org/10.48550/arxiv.2006.08661","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.08661","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:3175597704","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/aaai/aaai2021.html#LeeGUZBLE21","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":{"id":"doi:10.1609/aaai.v35i1.16101","doi":"https://doi.org/10.1609/aaai.v35i1.16101","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i1.16101","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.8928999900817871,"display_name":"No poverty"},{"id":"https://metadata.un.org/sdg/11","score":0.8787999749183655,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/9","score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2781775652","display_name":"CAREER: Modeling and Inference for Large Scale Spatio-Temporal Data","funder_award_id":"1651565","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7963269316","display_name":"AitF: Collaborative Research: Efficient High-Dimensional Integration using Error-Correcting Codes","funder_award_id":"1733686","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133683052.pdf","grobid_xml":"https://content.openalex.org/works/W3133683052.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1875061881","https://openalex.org/W1979728958","https://openalex.org/W2087475273","https://openalex.org/W2090722186","https://openalex.org/W2117539524","https://openalex.org/W2147194983","https://openalex.org/W2173315138","https://openalex.org/W2194775991","https://openalex.org/W2513506629","https://openalex.org/W2565639579","https://openalex.org/W2608596745","https://openalex.org/W2742305379","https://openalex.org/W2769313216","https://openalex.org/W2770820547","https://openalex.org/W2781228439","https://openalex.org/W2806070179","https://openalex.org/W2899505729","https://openalex.org/W2900752767","https://openalex.org/W2910705748","https://openalex.org/W2939078500","https://openalex.org/W2943552940","https://openalex.org/W2944571721","https://openalex.org/W2944736768","https://openalex.org/W2962764844","https://openalex.org/W2963150697","https://openalex.org/W2963693006","https://openalex.org/W2964121744","https://openalex.org/W2986507446","https://openalex.org/W2991818340","https://openalex.org/W2998027834","https://openalex.org/W3005412083","https://openalex.org/W3027716283","https://openalex.org/W3174075674"],"related_works":["https://openalex.org/W3034363062","https://openalex.org/W4287551034","https://openalex.org/W4391991745","https://openalex.org/W3005412083","https://openalex.org/W3015207864","https://openalex.org/W3106768023","https://openalex.org/W4211178593","https://openalex.org/W4385679602","https://openalex.org/W7171516343","https://openalex.org/W4246426960"],"abstract_inverted_index":{"Major":[0],"decisions":[1],"from":[2,47,84],"governments":[3],"and":[4,25,39,58,100,120,133,173,175,185],"other":[5],"large":[6],"organizations":[7,129],"rely":[8],"on":[9],"measurements":[10,18],"of":[11,30,75,163,170],"the":[12,31,85,107,131,161],"populace's":[13],"well-being,":[14],"but":[15],"making":[16],"such":[17],"at":[19,191],"a":[20,73,89,102,118],"broad":[21],"scale":[22],"is":[23,189],"expensive":[24],"thus":[26],"infrequent":[27],"in":[28,155,166,180],"much":[29],"developing":[32],"world.":[33],"We":[34,78],"propose":[35,79],"an":[36,135],"inexpensive,":[37],"scalable,":[38],"interpretable":[40],"approach":[41,104,137,165],"to":[42,63,82,117],"predict":[43],"key":[44],"livelihood":[45,76],"indicators":[46,169],"public":[48],"crowd-sourced":[49],"street-level":[50,86],"imagery.":[51],"Such":[52],"imagery":[53],"can":[54,126],"be":[55],"cheaply":[56,143],"collected":[57,154],"more":[59],"frequently":[60],"updated":[61],"compared":[62],"traditional":[64],"surveying":[65],"methods,":[66],"while":[67],"containing":[68],"plausibly":[69],"relevant":[70],"information":[71],"for":[72,138],"range":[74],"indicators.":[77],"two":[80,181],"approaches":[81],"learn":[83],"imagery:":[87],"(1)":[88],"method":[90],"that":[91,105,141],"creates":[92],"multi-household":[93],"cluster":[94],"representations":[95],"by":[96,178],"detecting":[97],"informative":[98],"objects":[99],"(2)":[101],"graph-based":[103],"captures":[106],"relationships":[108],"between":[109],"images.":[110],"By":[111,147],"visualizing":[112],"what":[113],"features":[114],"are":[115,123],"important":[116],"model":[119],"how":[121],"they":[122],"used,":[124],"we":[125,159],"help":[127],"end-user":[128],"understand":[130],"models":[132],"offer":[134],"alternate":[136],"index":[139],"estimation":[140],"uses":[142],"obtained":[144],"roadway":[145],"features.":[146],"comparing":[148],"our":[149,164],"results":[150],"against":[151],"ground":[152],"data":[153],"nationally-representative":[156],"household":[157],"surveys,":[158],"demonstrate":[160],"performance":[162],"accurately":[167],"predicting":[168],"poverty,":[171],"population,":[172],"health":[174],"its":[176],"scalability":[177],"testing":[179],"different":[182],"countries,":[183],"India":[184],"Kenya.":[186],"Our":[187],"code":[188],"available":[190],"https://github.com/sustainlab-group/mapillarygcn.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2021-03-15T00:00:00"}