{"id":"https://openalex.org/W2509209011","doi":"https://doi.org/10.1109/icip.2016.7532695","title":"Hierarchical part detection with deep neural networks","display_name":"Hierarchical part detection with deep neural networks","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509209011","doi":"https://doi.org/10.1109/icip.2016.7532695","mag":"2509209011"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056329332","display_name":"Esteve Cervantes","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Esteve Cervantes","raw_affiliation_strings":["Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108014227","display_name":"Long Yu","orcid":"https://orcid.org/0000-0001-9041-0801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Long Yu","raw_affiliation_strings":["Wide Eyes Technologies, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wide Eyes Technologies, Barcelona, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064029620","display_name":"Andrew D. Bagdanov","orcid":"https://orcid.org/0000-0001-6408-7043"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andrew D. Bagdanov","raw_affiliation_strings":["Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089415088","display_name":"Marc Masana","orcid":"https://orcid.org/0000-0003-3254-3096"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marc Masana","raw_affiliation_strings":["Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101958996","display_name":"Joost van de Weijer","orcid":"https://orcid.org/0000-0002-9656-9706"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joost van de Weijer","raw_affiliation_strings":["Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center Barcelona, Universitat Autonoma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1933","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7836959958076477},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7391691207885742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7374194860458374},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7100623846054077},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7078659534454346},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.691964864730835},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6611669659614563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6161888837814331},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6117886304855347},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5975120067596436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.558899998664856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5387287139892578},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4891712963581085},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44298285245895386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37660813331604004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836959958076477},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7391691207885742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7374194860458374},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7100623846054077},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7078659534454346},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.691964864730835},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6611669659614563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6161888837814331},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6117886304855347},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5975120067596436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5387287139892578},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4891712963581085},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44298285245895386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37660813331604004},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7532695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/1081331","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/1081331","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W56385144","https://openalex.org/W874179280","https://openalex.org/W1536680647","https://openalex.org/W1973255633","https://openalex.org/W1995543189","https://openalex.org/W2017691720","https://openalex.org/W2031489346","https://openalex.org/W2044291182","https://openalex.org/W2068730032","https://openalex.org/W2074621908","https://openalex.org/W2079789819","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2154422044","https://openalex.org/W2159423002","https://openalex.org/W2168356304","https://openalex.org/W2202431962","https://openalex.org/W2963173190","https://openalex.org/W3100477899","https://openalex.org/W4285719527","https://openalex.org/W6600313631","https://openalex.org/W6600609147","https://openalex.org/W6602324145","https://openalex.org/W6648737282","https://openalex.org/W6683443948"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Part":[0],"detection":[1,127],"is":[2],"an":[3],"important":[4],"aspect":[5],"of":[6,17,41,147,150],"object":[7,12,51,75,87],"recognition.":[8],"Most":[9],"approaches":[10],"apply":[11],"proposals":[13,94],"to":[14,37,59,66,91],"generate":[15],"hundreds":[16],"possible":[18],"part":[19,28,77,92,117,126,151],"bounding":[20,42],"box":[21],"candidates":[22],"which":[23,113],"are":[24],"then":[25,89],"evaluated":[26],"by":[27],"classifiers.":[29],"Recently":[30],"several":[31],"methods":[32,54],"have":[33],"investigated":[34],"directly":[35,114],"regressing":[36],"a":[38,71,80,111,145],"limited":[39],"set":[40],"boxes":[43],"from":[44],"deep":[45],"neural":[46],"network":[47,82,112],"representation.":[48],"However,":[49],"for":[50,74],"parts":[52],"such":[53],"may":[55],"be":[56],"unfeasible":[57],"due":[58],"their":[60],"relatively":[61],"small":[62],"size":[63],"with":[64,143],"respect":[65],"the":[67,86,98,102,116,135,148],"image.":[68],"We":[69,119],"propose":[70],"hierarchical":[72,108],"method":[73],"and":[76,88,138],"detection.":[78],"In":[79],"single":[81],"we":[83],"first":[84],"detect":[85],"regress":[90],"location":[93],"based":[95],"only":[96,144],"on":[97,134],"feature":[99],"representation":[100],"inside":[101],"object.":[103],"Experiments":[104],"show":[105,121],"that":[106,122],"our":[107,123],"approach":[109,124],"outperforms":[110],"regresses":[115],"locations.":[118],"also":[120],"obtains":[125],"accuracy":[128],"comparable":[129],"or":[130],"better":[131],"than":[132],"state-of-the-art":[133],"CUB-200":[136],"bird":[137],"Fashionista":[139],"clothing":[140],"item":[141],"datasets":[142],"fraction":[146],"number":[149],"proposals.":[152]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
