{"id":"https://openalex.org/W4402980796","doi":"https://doi.org/10.1109/icme57554.2024.10687519","title":"Cross-Domain Feature Semantic Calibration for Zero-Shot Sketch-Based Image Retrieval","display_name":"Cross-Domain Feature Semantic Calibration for Zero-Shot Sketch-Based Image Retrieval","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980796","doi":"https://doi.org/10.1109/icme57554.2024.10687519"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5108993626","display_name":"Xuewan He","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuewan He","raw_affiliation_strings":["University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043163390","display_name":"Jielei Wang","orcid":"https://orcid.org/0000-0003-2882-7053"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jielei Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008716657","display_name":"Qianxin Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianxin Xia","raw_affiliation_strings":["University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000444026","display_name":"Guoming Lu","orcid":"https://orcid.org/0000-0001-7477-5800"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Lu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Laboratory of Intelligent Collaborative Computing,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101956627","display_name":"Yuan Tang","orcid":"https://orcid.org/0000-0001-6772-9427"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Aeronautics and Astronautics,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Aeronautics and Astronautics,Chengdu,China","institution_ids":["https://openalex.org/I9842412","https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023018686","display_name":"Hongxia Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Lu","raw_affiliation_strings":["China Telecom Co.,Ltd. BeiJing Branch,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Telecom Co.,Ltd. BeiJing Branch,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108993626"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7873,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73520144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9897000193595886,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9897000193595886,"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":0.9833999872207642,"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/sketch","display_name":"Sketch","score":0.8047829866409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238412499427795},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6865453720092773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924952626228333},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5868944525718689},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5844866037368774},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.579033374786377},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5455687642097473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5177104473114014},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4961644113063812},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43882042169570923},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4339360296726227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38572102785110474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19074833393096924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18779975175857544}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8047829866409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238412499427795},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6865453720092773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924952626228333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5868944525718689},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5844866037368774},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.579033374786377},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5455687642097473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5177104473114014},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4961644113063812},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43882042169570923},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4339360296726227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38572102785110474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19074833393096924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18779975175857544},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1975771248","https://openalex.org/W2466618734","https://openalex.org/W2471581439","https://openalex.org/W2603445054","https://openalex.org/W2885402090","https://openalex.org/W2962747232","https://openalex.org/W2962945761","https://openalex.org/W2962990451","https://openalex.org/W2988772405","https://openalex.org/W3085694362","https://openalex.org/W3094502228","https://openalex.org/W3129072783","https://openalex.org/W3191326487","https://openalex.org/W3207288552","https://openalex.org/W4283815156","https://openalex.org/W4300772243","https://openalex.org/W4312244961","https://openalex.org/W4386065553","https://openalex.org/W6638523607","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2185495922","https://openalex.org/W2307731113","https://openalex.org/W2118130975","https://openalex.org/W2384506582"],"abstract_inverted_index":{"The":[0,59],"Zero-Shot":[1],"Sketch-Based":[2],"Image":[3],"Retrieval":[4],"(ZS-SBIR)":[5],"task":[6,39],"seeks":[7],"to":[8,100,115],"match":[9],"images":[10],"with":[11],"the":[12,26,54,65,74,112,120],"same":[13],"semantic":[14,87,103,117],"essence":[15],"as":[16],"a":[17,21,137],"hand-drawn":[18],"sketch":[19,121],"from":[20,111],"vast":[22],"image":[23,113],"repository.":[24],"Given":[25],"stark":[27],"contrast":[28],"in":[29,62,97,119],"information":[30,61],"density":[31],"between":[32,89],"simple-line":[33],"sketches":[34,63],"and":[35,57,91],"detailed":[36],"images,":[37],"this":[38],"encounters":[40],"two":[41,55],"formidable":[42],"challenges:":[43],"1)":[44],"Network":[45],"layers":[46,92],"focus":[47],"differently":[48],"on":[49],"semantically":[50],"relevant":[51],"features":[52],"across":[53,127],"domains,":[56],"2)":[58],"sparse":[60],"hampers":[64],"extraction":[66],"of":[67],"meaningful":[68],"features.":[69],"In":[70],"response,":[71],"we":[72],"introduce":[73],"innovative":[75],"Cross-Domain":[76],"Feature":[77],"Semantic":[78],"Calibration":[79],"(CD-FSC)":[80],"model.":[81],"This":[82],"model":[83,135],"begins":[84],"by":[85],"evaluating":[86],"correlations":[88],"domains":[90],"through":[93],"attention":[94],"map":[95],"analyses":[96],"vision":[98],"transformers":[99],"ensure":[101],"precise":[102],"alignment.":[104],"Subsequently,":[105],"it":[106],"harnesses":[107],"category":[108],"associations":[109],"learned":[110],"domain":[114],"bolster":[116],"learning":[118],"domain.":[122],"Our":[123],"extensive":[124],"comparative":[125],"experiments":[126],"three":[128],"prevalent":[129],"ZS-SBIR":[130],"datasets":[131],"affirm":[132],"that":[133],"our":[134],"sets":[136],"new":[138],"benchmark,":[139],"outperforming":[140],"current":[141],"leading":[142],"methods.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}