{"id":"https://openalex.org/W4289076299","doi":"https://doi.org/10.1587/transinf.2021edp7205","title":"SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation","display_name":"SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289076299","doi":"https://doi.org/10.1587/transinf.2021edp7205"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2021edp7205","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edp7205","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/8/E105.D_2021EDP7205/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/8/E105.D_2021EDP7205/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036085194","display_name":"Phong X. NGUYEN","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Phong X. NGUYEN","raw_affiliation_strings":["Graduate School of Engineering Advanced Interdisciplinary Studies, The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Advanced Interdisciplinary Studies, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032191054","display_name":"Hung Q. CAO","orcid":null},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hung Q. CAO","raw_affiliation_strings":["Quy Nhon AI, FPT Software"],"affiliations":[{"raw_affiliation_string":"Quy Nhon AI, FPT Software","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063539231","display_name":"Khang V. T. NGUYEN","orcid":null},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Khang V. T. NGUYEN","raw_affiliation_strings":["Quy Nhon AI, FPT Software"],"affiliations":[{"raw_affiliation_string":"Quy Nhon AI, FPT Software","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084971994","display_name":"Hung Viet Nguyen","orcid":"https://orcid.org/0000-0002-6981-0891"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hung NGUYEN","raw_affiliation_strings":["Quy Nhon AI, FPT Software"],"affiliations":[{"raw_affiliation_string":"Quy Nhon AI, FPT Software","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012762510","display_name":"Takehisa Yairi","orcid":"https://orcid.org/0000-0003-2408-028X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehisa YAIRI","raw_affiliation_strings":["Graduate School of Engineering Advanced Interdisciplinary Studies, The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Advanced Interdisciplinary Studies, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036085194"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66425064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"E105.D","issue":"8","first_page":"1401","last_page":"1417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9850999712944031,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.864827036857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6419872045516968},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5649846792221069},{"id":"https://openalex.org/keywords/concreteness","display_name":"Concreteness","score":0.5472854375839233},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.5300583243370056},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5150834918022156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4912368655204773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44392669200897217},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4403522312641144},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4329870641231537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36029934883117676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.864827036857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6419872045516968},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5649846792221069},{"id":"https://openalex.org/C2778436841","wikidata":"https://www.wikidata.org/wiki/Q5159081","display_name":"Concreteness","level":2,"score":0.5472854375839233},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.5300583243370056},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5150834918022156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4912368655204773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44392669200897217},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4403522312641144},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4329870641231537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36029934883117676},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2021edp7205","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edp7205","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/8/E105.D_2021EDP7205/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2021edp7205","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edp7205","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/8/E105.D_2021EDP7205/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289076299.pdf","grobid_xml":"https://content.openalex.org/works/W4289076299.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1994938019","https://openalex.org/W2082484280","https://openalex.org/W2282821441","https://openalex.org/W2295107390","https://openalex.org/W2616247523","https://openalex.org/W2618851150","https://openalex.org/W2788403449","https://openalex.org/W2809136100","https://openalex.org/W2886794383","https://openalex.org/W2891503716","https://openalex.org/W2926448628","https://openalex.org/W2955748575","https://openalex.org/W2969880113","https://openalex.org/W2978880690","https://openalex.org/W2990303212","https://openalex.org/W2990831699","https://openalex.org/W2997150065","https://openalex.org/W3006141194","https://openalex.org/W3089569007","https://openalex.org/W3102564565","https://openalex.org/W3150957536","https://openalex.org/W3177079919","https://openalex.org/W3197347140"],"related_works":["https://openalex.org/W4376486481","https://openalex.org/W2410104875","https://openalex.org/W2367006899","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W155334280","https://openalex.org/W4224009465","https://openalex.org/W2352552003","https://openalex.org/W2362092319","https://openalex.org/W1968729595"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4,18,168],"been":[5],"an":[6],"increasing":[7],"trend":[8],"of":[9,36,103,129,182],"applying":[10],"artificial":[11],"intelligence":[12],"in":[13,74,79,108,177],"many":[14,64],"different":[15],"fields,":[16],"which":[17],"a":[19,114,174,178],"profound":[20],"and":[21,99,105,149],"direct":[22],"impact":[23],"on":[24],"human":[25],"life.":[26],"Consequently,":[27],"this":[28,109,141],"raises":[29],"the":[30,34,49,53,75,127,166,171],"need":[31],"to":[32,68],"understand":[33],"principles":[35],"model":[37],"making":[38],"predictions.":[39],"Since":[40],"most":[41],"current":[42],"high-precision":[43],"models":[44],"are":[45,66],"black":[46],"boxes,":[47],"neither":[48],"AI":[50,70],"scientist":[51],"nor":[52],"end-user":[54],"profoundly":[55],"understands":[56],"what":[57],"is":[58],"happening":[59],"inside":[60],"these":[61,88,130],"models.":[62],"Therefore,":[63,107],"algorithms":[65,89,131],"studied":[67],"explain":[69],"models,":[71,145],"especially":[72],"those":[73],"image":[76],"classification":[77],"problem":[78],"computer":[80],"vision":[81],"such":[82,93],"as":[83,94],"LIME,":[84],"CAM,":[85],"GradCAM.":[86],"However,":[87],"still":[90],"have":[91],"limitations,":[92],"LIME's":[95],"long":[96],"execution":[97],"time":[98],"CAM's":[100],"confusing":[101],"interpretation":[102],"concreteness":[104],"clarity.":[106],"paper,":[110],"we":[111],"will":[112],"propose":[113],"new":[115],"method":[116,125],"called":[117],"Segmentation":[118],"-":[119],"Class":[120],"Activation":[121],"Mapping":[122],"(SeCAM)/":[123],"This":[124],"combines":[126],"advantages":[128],"above":[132],"while":[133],"at":[134],"simultaneously":[135],"overcoming":[136],"their":[137],"disadvantages.":[138],"We":[139],"tested":[140],"algorithm":[142,167],"with":[143],"various":[144],"including":[146],"ResNet50,":[147],"InceptionV3,":[148],"VGG16":[150],"from":[151],"ImageNet":[152],"Large":[153],"Scale":[154],"Visual":[155],"Recognition":[156],"Challenge":[157],"(ILSVRC)":[158],"data":[159],"set.":[160],"Outstanding":[161],"results":[162],"were":[163],"achieved":[164],"when":[165],"met":[169],"all":[170],"requirements":[172],"for":[173],"specific":[175],"explanation":[176],"remarkably":[179],"short":[180],"space":[181],"time.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}