{"id":"https://openalex.org/W2800317938","doi":"https://doi.org/10.1109/icpr.2018.8545222","title":"Weakly Supervised Domain-Specific Color Naming Based on Attention","display_name":"Weakly Supervised Domain-Specific Color Naming Based on Attention","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2800317938","doi":"https://doi.org/10.1109/icpr.2018.8545222","mag":"2800317938"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5102765121","display_name":"Lu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Yu","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036070371","display_name":"Yongmei Cheng","orcid":"https://orcid.org/0000-0002-9199-6215"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmei Cheng","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"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, Universitat Autonoma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102765121"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.60396311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3019","last_page":"3024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9351999759674072,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9351999759674072,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11144","display_name":"melanin and skin pigmentation","score":0.9218000173568726,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854119539260864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987327337265015},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5825111865997314},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5706159472465515},{"id":"https://openalex.org/keywords/color-term","display_name":"Color term","score":0.5694339275360107},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5276457071304321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44512882828712463},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4035850167274475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10665744543075562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854119539260864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987327337265015},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5825111865997314},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5706159472465515},{"id":"https://openalex.org/C58486684","wikidata":"https://www.wikidata.org/wiki/Q376431","display_name":"Color term","level":2,"score":0.5694339275360107},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5276457071304321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44512882828712463},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4035850167274475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10665744543075562},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320315803","display_name":"Centres de Recerca de Catalunya","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1514535095","https://openalex.org/W1783315696","https://openalex.org/W1921293667","https://openalex.org/W1934621328","https://openalex.org/W1943722231","https://openalex.org/W1974689608","https://openalex.org/W2027444427","https://openalex.org/W2047809566","https://openalex.org/W2057374840","https://openalex.org/W2106615295","https://openalex.org/W2124219775","https://openalex.org/W2135957164","https://openalex.org/W2162349892","https://openalex.org/W2218314711","https://openalex.org/W2252268321","https://openalex.org/W2287418003","https://openalex.org/W2295127519","https://openalex.org/W2395611524","https://openalex.org/W2585521554","https://openalex.org/W2594915279","https://openalex.org/W2740667773","https://openalex.org/W2778431694","https://openalex.org/W2801844694","https://openalex.org/W2963300078","https://openalex.org/W2963635628","https://openalex.org/W2963656855","https://openalex.org/W4233022604","https://openalex.org/W6630875275","https://openalex.org/W6640298173","https://openalex.org/W6680437723","https://openalex.org/W6691441656","https://openalex.org/W6692004142","https://openalex.org/W6696078910","https://openalex.org/W6734736930"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"The":[0,76],"majority":[1],"of":[2,14,24,33,88],"existing":[3],"color":[4,12,25,41,57,73,85,127],"naming":[5,74,86],"methods":[6],"focuses":[7],"on":[8,118],"the":[9,15,30,72,83,89,96,101,119],"eleven":[10],"basic":[11],"terms":[13],"English":[16],"language.":[17],"However,":[18],"in":[19,50],"many":[20],"applications,":[21],"different":[22],"sets":[23],"names":[26,42,58,128],"are":[27],"used":[28,80],"for":[29,113,129],"accurate":[31],"description":[32],"objects.":[34],"Labeling":[35],"data":[36],"to":[37,55,71,81,125],"learn":[38,56,126],"these":[39],"domain-specific":[40],"is":[43,79,123],"an":[44,68],"expensive":[45],"and":[46,115,122],"laborious":[47],"task.":[48],"Therefore,":[49],"this":[51,64],"article":[52],"we":[53,66,93,105],"aim":[54],"from":[59],"weakly":[60],"labeled":[61],"data.":[62],"For":[63],"purpose,":[65],"add":[67],"attention":[69,77,97],"branch":[70,78,98],"network.":[75,90],"modulate":[82],"pixel-wise":[84,114],"predictions":[87],"In":[91],"experiments,":[92],"illustrate":[94],"that":[95,107],"correctly":[99],"identifies":[100],"relevant":[102],"regions.":[103],"Furthermore,":[104],"show":[106],"our":[108],"method":[109],"obtains":[110],"state-of-the-art":[111],"results":[112],"image-wise":[116],"classification":[117],"EBAY":[120],"dataset":[121],"able":[124],"various":[130],"domains.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
