{"id":"https://openalex.org/W4400188754","doi":"https://doi.org/10.1007/s40747-024-01503-2","title":"Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval","display_name":"Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval","publication_year":2024,"publication_date":"2024-06-29","ids":{"openalex":"https://openalex.org/W4400188754","doi":"https://doi.org/10.1007/s40747-024-01503-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01503-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01503-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01503-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01503-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066304561","display_name":"Shichao Jiao","orcid":"https://orcid.org/0000-0002-2589-3533"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shichao Jiao","raw_affiliation_strings":["School of Computer Science and Technology, North University of China, Taiyuan, China","Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-2589-3533","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101923579","display_name":"Han Xie","orcid":"https://orcid.org/0000-0002-2672-3990"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Han","raw_affiliation_strings":["School of Computer Science and Technology, North University of China, Taiyuan, China","Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009855115","display_name":"Liqun Kuang","orcid":"https://orcid.org/0000-0003-3276-5748"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Kuang","raw_affiliation_strings":["School of Computer Science and Technology, North University of China, Taiyuan, China","Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-3276-5748","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034256540","display_name":"Fengguang Xiong","orcid":"https://orcid.org/0000-0003-3596-6457"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengguang Xiong","raw_affiliation_strings":["School of Computer Science and Technology, North University of China, Taiyuan, China","Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064596191","display_name":"Ligang He","orcid":"https://orcid.org/0000-0002-5671-0576"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ligang He","raw_affiliation_strings":["Department of Computer, University of Warwick, Coventry, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066304561"],"corresponding_institution_ids":["https://openalex.org/I135714990","https://openalex.org/I181877577"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08510742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"5","first_page":"6931","last_page":"6952"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463092803955078},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.730316698551178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6503269672393799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6464806795120239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5743474364280701},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5643284916877747},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5175670981407166},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.512836754322052},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49948859214782715},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4460054934024811},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4264489412307739},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3738256096839905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3526884913444519},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24794477224349976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15440523624420166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11672317981719971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463092803955078},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.730316698551178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6503269672393799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464806795120239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5743474364280701},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5643284916877747},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5175670981407166},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.512836754322052},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49948859214782715},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4460054934024811},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4264489412307739},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3738256096839905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3526884913444519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24794477224349976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15440523624420166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11672317981719971},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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":2,"locations":[{"id":"doi:10.1007/s40747-024-01503-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01503-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01503-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:691186baf6194c179adc75ac07746b3f","is_oa":true,"landing_page_url":"https://doaj.org/article/691186baf6194c179adc75ac07746b3f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6931-6952 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01503-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01503-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01503-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1492866476","display_name":null,"funder_award_id":"202104021301055","funder_id":"https://openalex.org/F4320335973","funder_display_name":"Transformation Program of Scientific and Technological Achievements of Jiangsu Province"},{"id":"https://openalex.org/G1534702153","display_name":null,"funder_award_id":"62272426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1674023265","display_name":null,"funder_award_id":"62106238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335973","display_name":"Transformation Program of Scientific and Technological Achievements of Jiangsu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400188754.pdf"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W295048775","https://openalex.org/W1644641054","https://openalex.org/W1972420097","https://openalex.org/W2096733369","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2259866506","https://openalex.org/W2466618734","https://openalex.org/W2471581439","https://openalex.org/W2511131004","https://openalex.org/W2520774990","https://openalex.org/W2603445054","https://openalex.org/W2604164738","https://openalex.org/W2618530766","https://openalex.org/W2735345282","https://openalex.org/W2776402438","https://openalex.org/W2791376837","https://openalex.org/W2810981979","https://openalex.org/W2883672875","https://openalex.org/W2885402090","https://openalex.org/W2887582123","https://openalex.org/W2896207750","https://openalex.org/W2914836186","https://openalex.org/W2940880383","https://openalex.org/W2947963561","https://openalex.org/W2947994214","https://openalex.org/W2951710037","https://openalex.org/W2962747232","https://openalex.org/W2962916234","https://openalex.org/W2962990451","https://openalex.org/W2963217615","https://openalex.org/W2963744743","https://openalex.org/W2963826681","https://openalex.org/W2964342398","https://openalex.org/W2967957126","https://openalex.org/W2969362383","https://openalex.org/W2976726839","https://openalex.org/W2981720610","https://openalex.org/W2981922830","https://openalex.org/W2995221846","https://openalex.org/W2997645545","https://openalex.org/W3000577579","https://openalex.org/W3016821823","https://openalex.org/W3033250778","https://openalex.org/W3034724202","https://openalex.org/W3040060312","https://openalex.org/W3045735302","https://openalex.org/W3049237381","https://openalex.org/W3057906563","https://openalex.org/W3080089933","https://openalex.org/W3087575941","https://openalex.org/W3091610674","https://openalex.org/W3101011071","https://openalex.org/W3128619348","https://openalex.org/W3163101577","https://openalex.org/W3196056489","https://openalex.org/W3196775275","https://openalex.org/W3202408237","https://openalex.org/W3211258519","https://openalex.org/W4205301645","https://openalex.org/W4207018409","https://openalex.org/W4220971258","https://openalex.org/W4221146485","https://openalex.org/W4280652284","https://openalex.org/W4285106444","https://openalex.org/W4285203820","https://openalex.org/W4296335812","https://openalex.org/W4298289240","https://openalex.org/W4300772243","https://openalex.org/W4313537271","https://openalex.org/W4317380944","https://openalex.org/W4364302131","https://openalex.org/W4385681406","https://openalex.org/W4385834426","https://openalex.org/W4386065553","https://openalex.org/W4386850097","https://openalex.org/W4388933793","https://openalex.org/W4391609901"],"related_works":["https://openalex.org/W2185495922","https://openalex.org/W2172231696","https://openalex.org/W2089969684","https://openalex.org/W2002918846","https://openalex.org/W2503910294","https://openalex.org/W2393699422","https://openalex.org/W2384506582","https://openalex.org/W2034539438","https://openalex.org/W2168037874","https://openalex.org/W2135728080"],"abstract_inverted_index":{"Abstract":[0],"Sketch-based":[1],"cross-domain":[2,34,103,229,249],"visual":[3,230],"data":[4,108,231],"retrieval":[5,64,104,232,247],"is":[6,23,67,73],"the":[7,30,37,71,80,92,97,107,128,150,163,184,189,194,211,214,225],"process":[8,39],"of":[9,33,82,188,200,213,219,227,242,248],"searching":[10],"for":[11,58,100],"images":[12],"or":[13],"3D":[14,62],"models":[15],"using":[16],"sketches":[17],"as":[18,44],"input.":[19],"Achieving":[20],"feature":[21,94,98,116,138,142],"alignment":[22,38],"a":[24,88,240],"significantly":[25],"challenging":[26],"task":[27],"due":[28],"to":[29,118,127,148,193,207,223,236,239],"high":[31],"heterogeneity":[32],"data.":[35,251],"However,":[36],"faces":[40],"significant":[41],"challenges,":[42],"such":[43],"domain":[45,68,132,250],"gap,":[46,48],"semantic":[47,74,135],"and":[49,61,70,96,141,170,177,186,233],"knowledge":[50],"gap.":[51],"The":[52,179,197,217],"existing":[53],"methods":[54],"adopt":[55],"different":[56],"ideas":[57],"sketch-based":[59,102,228],"image":[60],"shape":[63],"tasks,":[65],"one":[66],"alignment,":[69],"other":[72],"alignment.":[75],"Technically,":[76],"both":[77],"tasks":[78],"verify":[79],"accuracy":[81],"extracted":[83],"features.":[84,121],"Hence,":[85],"we":[86],"propose":[87],"method":[89,157],"based":[90],"on":[91,158],"global":[93],"correlation":[95,139],"similarity":[99,143],"multiple":[101,159],"tasks.":[105],"Specifically,":[106],"from":[109],"various":[110,201],"modalities":[111],"are":[112,125,145,173,204,234],"fed":[113],"into":[114,210],"separate":[115],"extractors":[117],"generate":[119],"original":[120],"Then,":[122],"these":[123],"features":[124,152],"projected":[126,151],"shared":[129],"subspace.":[130],"Finally,":[131],"consistency":[133,136],"learning,":[134,137],"learning":[140,144],"performed":[146],"jointly":[147],"make":[149],"modality-invariance.":[153],"We":[154],"evaluate":[155],"our":[156],"benchmark":[160],"datasets.":[161],"Where":[162],"MAP":[164],"in":[165],"Sketchy,":[166],"TU-Berlin,":[167],"SHREC":[168,171],"2013":[169],"2014":[172],"0.466,":[174],"0.473,":[175],"0.860":[176],"0.816.":[178],"extensive":[180],"experimental":[181],"results":[182],"demonstrate":[183],"superiority":[185],"generalization":[187],"proposed":[190,215],"method,":[191],"compared":[192],"state-of-the-art":[195],"approaches.":[196],"in-depth":[198],"analyses":[199],"design":[202],"choices":[203],"also":[205],"provided":[206],"gain":[208],"insight":[209],"effectiveness":[212],"method.":[216],"outcomes":[218],"this":[220],"research":[221],"contribute":[222],"advancing":[224],"field":[226],"expected":[235],"be":[237],"applied":[238],"variety":[241],"applications":[243],"that":[244],"require":[245],"efficient":[246]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
