{"id":"https://openalex.org/W2617840581","doi":"https://doi.org/10.24963/ijcai.2017/279","title":"Learning deep structured network for weakly supervised change detection","display_name":"Learning deep structured network for weakly supervised change detection","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2617840581","doi":"https://doi.org/10.24963/ijcai.2017/279","mag":"2617840581"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/279","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/279","pdf_url":"https://www.ijcai.org/proceedings/2017/0279.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0279.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103899095","display_name":"Salman H. Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Salman Khan","raw_affiliation_strings":["Australian National University","Data61-CSIRO","AUSTRALIAN NATIONAL UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"Data61-CSIRO","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"AUSTRALIAN NATIONAL UNIVERSITY","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970030","display_name":"Xuming He","orcid":"https://orcid.org/0000-0003-2150-1237"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming He","raw_affiliation_strings":["ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038550641","display_name":"Fatih Porikli","orcid":"https://orcid.org/0000-0002-1520-4466"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fatih Porikli","raw_affiliation_strings":["Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009750573","display_name":"Mohammed Bennamoun","orcid":"https://orcid.org/0000-0002-6603-3257"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammed Bennamoun","raw_affiliation_strings":["The University of Western Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Western Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002219416","display_name":"Ferdous Sohel","orcid":"https://orcid.org/0000-0003-1557-4907"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ferdous Sohel","raw_affiliation_strings":["Murdoch University","Murdoch university"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Murdoch University","institution_ids":["https://openalex.org/I176790772"]},{"raw_affiliation_string":"Murdoch university","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017213156","display_name":"Roberto Togneri","orcid":"https://orcid.org/0000-0002-3778-4633"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Roberto Togneri","raw_affiliation_strings":["The University of Western Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Western Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2008","last_page":"2015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9853000044822693,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7857919931411743},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7511571645736694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247551679611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7097819447517395},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5761013627052307},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5711939334869385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5598357915878296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.558344841003418},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49866151809692383},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4522002041339874},{"id":"https://openalex.org/keywords/probability-mass-function","display_name":"Probability mass function","score":0.44428151845932007},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4282100796699524},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.422787606716156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3589973449707031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2100781798362732},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.17411962151527405},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06463634967803955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0632607638835907}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7857919931411743},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7511571645736694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247551679611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7097819447517395},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5761013627052307},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5711939334869385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5598357915878296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.558344841003418},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49866151809692383},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4522002041339874},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.44428151845932007},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4282100796699524},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.422787606716156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3589973449707031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2100781798362732},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.17411962151527405},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06463634967803955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0632607638835907},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.24963/ijcai.2017/279","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/279","pdf_url":"https://www.ijcai.org/proceedings/2017/0279.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1606.02009","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.02009","pdf_url":"https://arxiv.org/pdf/1606.02009","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/954d8094-14e1-448d-839a-8527d1a8426b","is_oa":false,"landing_page_url":"https://arxiv.org/abs/1606.02009","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"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":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1606.02009","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1606.02009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2617840581","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/279","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/279","pdf_url":"https://www.ijcai.org/proceedings/2017/0279.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2617840581.pdf","grobid_xml":"https://content.openalex.org/works/W2617840581.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1529410181","https://openalex.org/W1565402342","https://openalex.org/W1686810756","https://openalex.org/W1753659477","https://openalex.org/W1783315696","https://openalex.org/W1861492603","https://openalex.org/W1894683164","https://openalex.org/W1903029394","https://openalex.org/W1923184257","https://openalex.org/W1927251054","https://openalex.org/W1945608308","https://openalex.org/W1973181481","https://openalex.org/W2006104434","https://openalex.org/W2041463265","https://openalex.org/W2081458210","https://openalex.org/W2097838991","https://openalex.org/W2101705628","https://openalex.org/W2102605133","https://openalex.org/W2115627867","https://openalex.org/W2116581750","https://openalex.org/W2118585731","https://openalex.org/W2128680590","https://openalex.org/W2143516773","https://openalex.org/W2161236525","https://openalex.org/W2166377520","https://openalex.org/W2166765763","https://openalex.org/W2221898772","https://openalex.org/W2315313982","https://openalex.org/W2317688867","https://openalex.org/W2627081599","https://openalex.org/W2949145768","https://openalex.org/W2949213045","https://openalex.org/W2949323354"],"related_works":["https://openalex.org/W2897357503","https://openalex.org/W2895589541","https://openalex.org/W3014090288","https://openalex.org/W2782482721","https://openalex.org/W3110705423","https://openalex.org/W3048686909","https://openalex.org/W3072066691","https://openalex.org/W2291422229","https://openalex.org/W3034652543","https://openalex.org/W2615461745","https://openalex.org/W2899901372","https://openalex.org/W2026581312","https://openalex.org/W3012668059","https://openalex.org/W3176239531","https://openalex.org/W2971054819","https://openalex.org/W3016483633","https://openalex.org/W2996772410","https://openalex.org/W2950461853","https://openalex.org/W3011835342","https://openalex.org/W2600355882"],"abstract_inverted_index":{"Conventional":[0],"change":[1,63],"detection":[2,143],"methods":[3],"require":[4],"a":[5,27,43,52,78,97],"large":[6],"number":[7],"of":[8,45,62,71,115],"images":[9],"to":[10,36,59,81,101,111],"learn":[11,60],"background":[12],"models":[13],"or":[14],"depend":[15],"on":[16,128,137],"tedious":[17],"pixel-level":[18,104],"labeling":[19],"by":[20],"humans.":[21],"In":[22],"this":[23,48],"paper,":[24],"we":[25,50,76],"present":[26],"weakly":[28],"supervised":[29],"approach":[30],"that":[31],"needs":[32],"only":[33],"image-level":[34,65],"labels":[35,110],"simultaneously":[37],"detect":[38],"and":[39,86,106,144],"localize":[40],"changes":[41],"in":[42,118],"pair":[44],"images.":[46],"To":[47],"end,":[49],"employ":[51],"deep":[53],"neural":[54],"network":[55],"with":[56,88],"DAG":[57],"topology":[58],"patterns":[61],"from":[64],"labeled":[66],"training":[67],"data.":[68],"On":[69],"top":[70],"the":[72,83,89,103,108,113,116,129],"initial":[73],"CNN":[74,117],"activations,":[75],"define":[77],"CRF":[79],"model":[80],"incorporate":[82],"local":[84],"differences":[85],"context":[87],"dense":[90],"connections":[91],"between":[92],"individual":[93],"pixels.":[94],"We":[95],"apply":[96],"constrained":[98],"mean-field":[99],"algorithm":[100],"estimate":[102],"labels,":[105],"use":[107],"estimated":[109],"update":[112],"parameters":[114],"an":[119],"iterative":[120],"EM":[121],"framework.":[122],"This":[123],"enables":[124],"imposing":[125],"global":[126],"constraints":[127],"observed":[130],"foreground":[131],"probability":[132],"mass":[133],"function.":[134],"Our":[135],"evaluations":[136],"four":[138],"benchmark":[139],"datasets":[140],"demonstrate":[141],"superior":[142],"localization":[145],"performance.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}