{"id":"https://openalex.org/W3019726499","doi":"https://doi.org/10.1109/cvprw50498.2020.00095","title":"Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning","display_name":"Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3019726499","doi":"https://doi.org/10.1109/cvprw50498.2020.00095","mag":"3019726499"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw50498.2020.00095","doi":"https://doi.org/10.1109/cvprw50498.2020.00095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00095","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.10780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012614331","display_name":"Manish Bhattarai","orcid":"https://orcid.org/0000-0002-1421-3643","observed_orcids":["https://orcid.org/0000-0002-1421-3643"]},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manish Bhattarai","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036303352","display_name":"Diane Oyen","orcid":"https://orcid.org/0000-0002-1353-3688","observed_orcids":["https://orcid.org/0000-0002-1353-3688"]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diane Oyen","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053027276","display_name":"Juan Castorena","orcid":"https://orcid.org/0000-0003-2617-5178","observed_orcids":["https://orcid.org/0000-0003-2617-5178","https://orcid.org/0000-0002-1612-3414"]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Castorena","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM, USA","Los Alamos national Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"Los Alamos national Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423489","display_name":"Liping Yang","orcid":"https://orcid.org/0000-0002-9240-5501","observed_orcids":["https://orcid.org/0000-0002-9240-5501"]},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liping Yang","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015244709","display_name":"Brendt E. Wohlberg","orcid":"https://orcid.org/0000-0002-4767-1843","observed_orcids":["https://orcid.org/0000-0002-4767-1843"]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendt Wohlberg","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6659,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77012798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"663","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.861299991607666,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.861299991607666,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.09679999947547913,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.00800000037997961,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch-based-image-retrieval","display_name":"sketch-based image retrieval","score":0.7559999823570251},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.8230000138282776},{"id":"https://openalex.org/keywords/binary-images","display_name":"binary images","score":0.8569999933242798},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7843064665794373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447825074195862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722856879234314},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6957865357398987},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6562904715538025},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6547071933746338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5045078992843628},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4748692214488983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44959086179733276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4269481897354126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3621477782726288},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2965822219848633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06989949941635132},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvprw50498.2020.00095","doi":"https://doi.org/10.1109/cvprw50498.2020.00095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00095","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.10780","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10780","pdf_url":"https://arxiv.org/pdf/2004.10780","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":"mag:3019726499","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2004.10780.pdf","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.2004.10780","doi":"https://doi.org/10.48550/arxiv.2004.10780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.10780","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.10780","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10780","pdf_url":"https://arxiv.org/pdf/2004.10780","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6185696189","display_name":null,"funder_award_id":"20200041ER","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3019726499.pdf","grobid_xml":"https://content.openalex.org/works/W3019726499.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W17407163","https://openalex.org/W171943087","https://openalex.org/W304676660","https://openalex.org/W845365781","https://openalex.org/W1839408879","https://openalex.org/W1959608418","https://openalex.org/W1973693867","https://openalex.org/W2002957392","https://openalex.org/W2040165443","https://openalex.org/W2050217596","https://openalex.org/W2064076387","https://openalex.org/W2080105720","https://openalex.org/W2093848332","https://openalex.org/W2108598243","https://openalex.org/W2122290824","https://openalex.org/W2124033848","https://openalex.org/W2130660124","https://openalex.org/W2138621090","https://openalex.org/W2147238549","https://openalex.org/W2155858138","https://openalex.org/W2158562317","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2168029744","https://openalex.org/W2168125451","https://openalex.org/W2187089797","https://openalex.org/W2432717477","https://openalex.org/W2555897561","https://openalex.org/W2601450892","https://openalex.org/W2603445054","https://openalex.org/W2750384547","https://openalex.org/W2808747415","https://openalex.org/W2919115771","https://openalex.org/W2954996726","https://openalex.org/W2963341924","https://openalex.org/W3091905774","https://openalex.org/W3109966562"],"related_works":["https://openalex.org/W4390166667","https://openalex.org/W3189099536","https://openalex.org/W4385691898","https://openalex.org/W4212833985","https://openalex.org/W2158562317","https://openalex.org/W2575157749","https://openalex.org/W2064322101","https://openalex.org/W2901009876","https://openalex.org/W7099292445","https://openalex.org/W1995845769"],"abstract_inverted_index":{"Resolution":[0],"of":[1,5,25,38,50,77,111,150,166,177],"the":[2,23,36,142,161,175],"complex":[3],"problem":[4],"image":[6,29,81,84,131,162],"retrieval":[7,132],"for":[8,67,70,83,101,130,183],"diagram":[9,154],"images":[10,73,129,155,168,189,193],"has":[11],"yet":[12],"to":[13,20,32,42,48,93,124,159,169],"be":[14],"reached.":[15],"Deep":[16],"learning":[17,64,123,139,158,179,182],"methods":[18,88],"continue":[19],"excel":[21],"in":[22,116,187],"fields":[24],"object":[26],"detection":[27],"and":[28,56,86,113,133,190],"classification":[30],"applied":[31,41],"natural":[33,80,128,167],"imagery.":[34],"However,":[35],"application":[37],"such":[39,53],"methodologies":[40],"binary":[43,71],"imagery":[44,104],"remains":[45],"limited":[46],"due":[47],"lack":[49],"crucial":[51],"features":[52],"as":[54],"textures,color":[55],"intensity":[57],"information.":[58],"This":[59],"paper":[60],"presents":[61],"a":[62,136],"deep":[63,122,138,178],"based":[65,194],"method":[66],"image-based":[68],"search":[69,85,163],"patent":[72,153,188],"by":[74,120],"taking":[75],"advantage":[76],"existing":[78],"large":[79],"repositories":[82],"sketch-based":[87],"(Sketches":[89],"are":[90,106,114],"not":[91],"identical":[92],"diagrams,":[94],"but":[95],"they":[96],"do":[97],"share":[98],"some":[99],"characteristics;":[100],"example,":[102],"both":[103],"types":[105],"gray":[107],"scale":[108],"(binary),":[109],"composed":[110],"contours,":[112],"lacking":[115],"texture).":[117],"We":[118,144],"begin":[119],"using":[121],"generate":[125],"sketches":[126,165],"from":[127,164],"then":[134,145],"train":[135],"second":[137],"model":[140],"on":[141,195],"sketches.":[143],"use":[146],"our":[147],"small":[148],"set":[149],"manually":[151],"labeled":[152],"via":[156],"transfer":[157,181],"adapt":[160],"diagrams.":[170],"Our":[171],"experiment":[172],"results":[173],"show":[174],"effectiveness":[176],"with":[180],"detecting":[184],"near-identical":[185],"copies":[186],"querying":[191],"similar":[192],"content.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-05-01T00:00:00"}
