{"id":"https://openalex.org/W2986899208","doi":"https://doi.org/10.1117/12.2559536","title":"Evaluating CNN interpretability on sketch classification","display_name":"Evaluating CNN interpretability on sketch classification","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W2986899208","doi":"https://doi.org/10.1117/12.2559536","mag":"2986899208"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559536","is_oa":true,"landing_page_url":"https://doi.org/10.1117/12.2559536","pdf_url":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11433/114331Q/Evaluating-CNN-interpretability-on-sketch-classification/10.1117/12.2559536.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11433/114331Q/Evaluating-CNN-interpretability-on-sketch-classification/10.1117/12.2559536.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071059870","display_name":"Abraham Theodorus","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Abraham Theodorus","raw_affiliation_strings":["Univ. of Twente (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Univ. of Twente (Netherlands)","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074831496","display_name":"Meike Nauta","orcid":"https://orcid.org/0000-0002-0558-3810"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Meike Nauta","raw_affiliation_strings":["Univ. of Twente (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Univ. of Twente (Netherlands)","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054484216","display_name":"Christin Seifert","orcid":"https://orcid.org/0000-0002-6776-3868"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Christin Seifert","raw_affiliation_strings":["Univ. of Twente (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Univ. of Twente (Netherlands)","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071059870"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.3928,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59965067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9599999785423279,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9599999785423279,"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/T11448","display_name":"Face recognition and analysis","score":0.9229000210762024,"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":0.9223999977111816,"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/interpretability","display_name":"Interpretability","score":0.9544460773468018},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8950744271278381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744995951652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311135292053223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4149560332298279},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32591956853866577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0644693374633789}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9544460773468018},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8950744271278381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744995951652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311135292053223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4149560332298279},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32591956853866577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0644693374633789}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2559536","is_oa":true,"landing_page_url":"https://doi.org/10.1117/12.2559536","pdf_url":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11433/114331Q/Evaluating-CNN-interpretability-on-sketch-classification/10.1117/12.2559536.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/5a4e6d4c-92ae-4724-8882-2176d4308a87","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/5a4e6d4c-92ae-4724-8882-2176d4308a87","pdf_url":"https://research.utwente.nl/files/200234461/10.1117_12.2559536.full.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theodorus, A, Nauta, M & Seifert, C 2020, Evaluating CNN interpretability on sketch classification. in W Osten, D Nikolaev & J Zhou (eds), 12th International Conference on Machine Vision, ICMV 2019., 114331Q, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11433, SPIE, 12th International Conference on Machine Vision, ICMV 2019, Amsterdam, Netherlands, 16/11/19. https://doi.org/10.1117/12.2559536","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/5a4e6d4c-92ae-4724-8882-2176d4308a87","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85081171062&partnerID=8YFLogxK","pdf_url":"https://ris.utwente.nl/ws/files/200234461/10.1117_12.2559536.full.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theodorus, A, Nauta, M & Seifert, C 2020, Evaluating CNN interpretability on sketch classification. in W Osten, D Nikolaev & J Zhou (eds), 12th International Conference on Machine Vision, ICMV 2019., 114331Q, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11433, SPIE, 12th International Conference on Machine Vision, ICMV 2019, Amsterdam, Netherlands, 16/11/19. https://doi.org/10.1117/12.2559536","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1117/12.2559536","is_oa":true,"landing_page_url":"https://doi.org/10.1117/12.2559536","pdf_url":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11433/114331Q/Evaluating-CNN-interpretability-on-sketch-classification/10.1117/12.2559536.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986899208.pdf","grobid_xml":"https://content.openalex.org/works/W2986899208.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2493181180","https://openalex.org/W2764024122","https://openalex.org/W2787535981","https://openalex.org/W2811104224","https://openalex.org/W2910992787","https://openalex.org/W2963374347","https://openalex.org/W2963446712","https://openalex.org/W4230981054","https://openalex.org/W4297772692","https://openalex.org/W6637162671","https://openalex.org/W6643492205","https://openalex.org/W6687483927","https://openalex.org/W6723491766","https://openalex.org/W6725739302","https://openalex.org/W6745510850","https://openalex.org/W6749093702"],"related_works":["https://openalex.org/W1986582023","https://openalex.org/W2961085424","https://openalex.org/W2966829450","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694"],"abstract_inverted_index":{"While":[0],"deep":[1],"neural":[2,48],"networks":[3,49],"(DNNs)":[4],"have":[5],"been":[6],"shown":[7],"to":[8,32,39,104,113],"outperform":[9],"humans":[10],"on":[11,57,77,138],"many":[12],"vision":[13],"tasks,":[14],"their":[15],"intransparent":[16],"decision":[17],"making":[18],"process":[19],"inhibits":[20],"wide-spread":[21],"uptake,":[22],"especially":[23],"in":[24,133],"high-risk":[25],"scenarios.":[26],"The":[27],"BagNet":[28,54,76,115,124],"architecture":[29,132],"was":[30],"designed":[31],"learn":[33],"visual":[34],"features":[35],"that":[36,123],"are":[37],"easier":[38],"explain":[40],"than":[41],"the":[42,71,128,139],"feature":[43],"representation":[44],"of":[45,75,81],"other":[46],"convolutional":[47],"(CNNs).":[50],"Previous":[51],"experiments":[52],"with":[53,88],"were":[55],"focused":[56],"natural":[58],"images":[59],"providing":[60],"rich":[61],"texture":[62,93],"and":[63,73,91,108],"color":[64,90],"information.":[65,94],"In":[66],"this":[67],"paper,":[68],"we":[69],"investigate":[70],"performance":[72],"interpretability":[74,100,107,116],"a":[78,85,98,110],"data":[79,86],"set":[80,87],"human":[82],"sketches,":[83],"i.e.,":[84],"limited":[89],"no":[92],"We":[95],"also":[96],"introduce":[97],"heatmap":[99],"score":[101],"(HI":[102],"score)":[103],"quantify":[105],"model":[106],"present":[109],"user":[111,118],"study":[112],"examine":[114],"from":[117],"perspective.":[119],"Our":[120],"results":[121],"show":[122],"is":[125],"by":[126],"far":[127],"most":[129],"interpretable":[130],"CNN":[131],"our":[134],"experiment":[135],"setup":[136],"based":[137],"HI":[140],"score.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}