{"id":"https://openalex.org/W2535894884","doi":"https://doi.org/10.1109/tcsvt.2016.2618933","title":"Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level","display_name":"Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level","publication_year":2016,"publication_date":"2016-10-19","ids":{"openalex":"https://openalex.org/W2535894884","doi":"https://doi.org/10.1109/tcsvt.2016.2618933","mag":"2535894884"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2618933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2618933","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","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/A5101805061","display_name":"Dong Xuan","orcid":"https://orcid.org/0000-0002-3121-9756"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Dong","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3121-9756","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049857254","display_name":"Boy\u00e1n Bonev","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyan I. Bonev","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662467","display_name":"Weixin Li","orcid":"https://orcid.org/0000-0002-5093-5635"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixin Li","raw_affiliation_strings":["Department of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD, USA","Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5093-5635","affiliations":[{"raw_affiliation_string":"Department of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112609395","display_name":"Weichao Qiu","orcid":"https://orcid.org/0009-0004-1254-5865"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weichao Qiu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015286714","display_name":"Xianjie Chen","orcid":"https://orcid.org/0000-0001-8206-0557"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianjie Chen","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086706224","display_name":"Alan Yuille","orcid":"https://orcid.org/0000-0001-5207-9249"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan L. Yuille","raw_affiliation_strings":["Department of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD, USA","Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10765534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"28","issue":"3","first_page":"802","last_page":"806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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/piecewise","display_name":"Piecewise","score":0.6937426924705505},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6810283660888672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583280563354492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.657041072845459},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6383059024810791},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6006882786750793},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5268805623054504},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46516183018684387},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4395955801010132},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3247178792953491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.301611065864563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22998452186584473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08951371908187866}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6937426924705505},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6810283660888672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583280563354492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.657041072845459},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6383059024810791},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6006882786750793},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5268805623054504},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46516183018684387},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4395955801010132},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3247178792953491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.301611065864563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22998452186584473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08951371908187866},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2618933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2618933","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3940875912","display_name":null,"funder_award_id":"NSF CCF-1317376","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1506777192","https://openalex.org/W1513100184","https://openalex.org/W1987844198","https://openalex.org/W1995194116","https://openalex.org/W2019904315","https://openalex.org/W2061052400","https://openalex.org/W2074621908","https://openalex.org/W2104408738","https://openalex.org/W2104974755","https://openalex.org/W2110158442","https://openalex.org/W2147821504","https://openalex.org/W2160956336","https://openalex.org/W2161328579","https://openalex.org/W2161790807","https://openalex.org/W2165107586","https://openalex.org/W2166049352","https://openalex.org/W2169408931","https://openalex.org/W2231495490","https://openalex.org/W2244684328","https://openalex.org/W2798909945","https://openalex.org/W2996868574","https://openalex.org/W2998514558","https://openalex.org/W4247811648","https://openalex.org/W6630726011"],"related_works":["https://openalex.org/W1663079876","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2349160795","https://openalex.org/W2100057527","https://openalex.org/W2135595438","https://openalex.org/W2993291555","https://openalex.org/W2159686533","https://openalex.org/W4223555864"],"abstract_inverted_index":{"Base-detail":[0,29],"separation":[1,30,46,140],"is":[2,31,56,101,105],"a":[3,13,22,77,117,135],"fundamental":[4],"image":[5,11],"processing":[6],"problem,":[7],"which":[8],"models":[9],"the":[10,18,26,38,42,53,103,111,148],"by":[12,116],"smooth":[14],"base":[15,104],"layer":[16,24],"for":[17,25,58,70],"coarse":[19,43,48],"structure":[20],"and":[21,33,84,91,95,108,124,146],"detail":[23],"texturelike":[27],"structures.":[28],"hierarchical":[32],"can":[34],"be":[35],"performed":[36],"from":[37,129],"fine":[39],"level":[40],"to":[41,79,137],"level.":[44],"The":[45,120],"at":[47,52],"level,":[49,55],"in":[50],"particular":[51],"part":[54],"important":[57],"many":[59],"applications,":[60],"but":[61],"currently":[62],"lacks":[63],"ground-truth":[64],"data":[65,82,144],"sets":[66,83,145],"that":[67,102],"are":[68,122],"needed":[69],"comparing":[71],"algorithms":[72],"quantitatively.":[73],"Thus,":[74],"we":[75,109,133],"propose":[76,134],"procedure":[78],"construct":[80],"such":[81],"provide":[85],"two":[86],"examples:":[87],"Pascal":[88],"Part":[89],"UCLA":[90],"Fashionista,":[92],"containing":[93],"1000":[94],"250":[96],"images,":[97],"respectively.":[98],"Our":[99],"assumption":[100],"piecewise":[106],"smooth,":[107],"label":[110],"appearance":[112],"of":[113,126,150],"each":[114],"piece":[115],"polynomial":[118],"model.":[119],"pieces":[121],"objects":[123,127],"parts":[125],"obtained":[128],"human":[130],"annotations.":[131],"Finally,":[132],"way":[136],"evaluate":[138],"different":[139],"methods":[141],"with":[142],"our":[143],"compared":[147],"performances":[149],"seven":[151],"state-of-the-art":[152],"algorithms.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}