{"id":"https://openalex.org/W3089790616","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207198","title":"Visual-to-Semantic Hashing for Zero Shot Learning","display_name":"Visual-to-Semantic Hashing for Zero Shot Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089790616","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207198","mag":"3089790616"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5100354039","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2067-2763"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100990599","display_name":"Xiaoyue Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Wen","raw_affiliation_strings":["Engineering Research Center of Intelligent Transport of Zhejiang Province, Enjoyor Co., Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Transport of Zhejiang Province, Enjoyor Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748265","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0003-1028-5989"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927070","display_name":"Xiangfeng Wang","orcid":"https://orcid.org/0000-0003-3064-5128"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108814327","display_name":"Junjie Wang","orcid":"https://orcid.org/0000-0002-9941-6713"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068678636","display_name":"Jinghui Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Cai","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.33870184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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":0.7852054834365845},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7439459562301636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5948611497879028},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5780786275863647},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5656172037124634},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5467367172241211},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.47569215297698975},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.45961257815361023},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4539269804954529},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4445226192474365},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4424993395805359},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4230152368545532},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.410469651222229},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3980691134929657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3309330642223358},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3059307932853699},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27076956629753113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11816617846488953},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.08514910936355591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852054834365845},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7439459562301636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5948611497879028},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5780786275863647},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5656172037124634},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5467367172241211},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.47569215297698975},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.45961257815361023},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4539269804954529},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4445226192474365},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4424993395805359},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4230152368545532},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.410469651222229},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3980691134929657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3309330642223358},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3059307932853699},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27076956629753113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11816617846488953},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.08514910936355591},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/ijcnn48605.2020.9207198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1910300841","https://openalex.org/W1923967535","https://openalex.org/W1974647172","https://openalex.org/W2049993534","https://openalex.org/W2074668987","https://openalex.org/W2081580037","https://openalex.org/W2098411764","https://openalex.org/W2108598243","https://openalex.org/W2121713321","https://openalex.org/W2123024445","https://openalex.org/W2134270519","https://openalex.org/W2142881874","https://openalex.org/W2147717514","https://openalex.org/W2194775991","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2435696002","https://openalex.org/W2464915613","https://openalex.org/W2603445054","https://openalex.org/W2739565366","https://openalex.org/W2917742317","https://openalex.org/W2963213486","https://openalex.org/W2963340196","https://openalex.org/W2963342824","https://openalex.org/W2963499153","https://openalex.org/W2964121744","https://openalex.org/W2964280870","https://openalex.org/W3004075920","https://openalex.org/W3143107425","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6640412524","https://openalex.org/W6676297131","https://openalex.org/W6678291700","https://openalex.org/W6678470764","https://openalex.org/W6680127537","https://openalex.org/W6681077227","https://openalex.org/W6697060382","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2144265691","https://openalex.org/W2059244188","https://openalex.org/W4211126162","https://openalex.org/W1981124010","https://openalex.org/W3192025065","https://openalex.org/W3087964089","https://openalex.org/W4205587245","https://openalex.org/W3158263601"],"abstract_inverted_index":{"Hashing-based":[0],"multimedia":[1],"retrieval":[2],"are":[3,38],"facing":[4],"the":[5,8,30,42,59,82,91,118,123,145],"problem":[6],"of":[7,11,61,125,141],"dramatic":[9],"increase":[10],"data,":[12],"especially":[13],"new":[14,26],"unseen":[15,49,108],"categories.":[16],"It":[17],"is":[18,64,87,114,131,148],"time-consuming,":[19],"expensive,":[20],"and":[21,28,55,94],"sometimes":[22],"impractical":[23],"to":[24,40,90,107,116,133,150],"label":[25],"samples":[27],"retrain":[29],"hashing":[31,36],"model.":[32],"Recently,":[33],"several":[34],"zero-shot":[35],"methods":[37],"proposed":[39,146],"generate":[41,96],"hash":[43,98],"function":[44],"with":[45],"good":[46],"generalization":[47],"for":[48],"classes,":[50,109],"via":[51],"exploring":[52],"semantic":[53,83,92,119,126,137],"information":[54],"similarity":[56],"relationship.":[57],"However,":[58],"performance":[60],"existing":[62],"solutions":[63],"still":[65],"not":[66],"satisfying.":[67],"Therefore,":[68],"we":[69],"propose":[70],"a":[71,110,128],"modified":[72],"two-stage":[73],"framework,":[74],"called":[75],"Visual-to-Semantic":[76],"Hashing":[77],"(VSH).":[78],"To":[79,100,121],"fully":[80],"exploit":[81],"information,":[84],"visual":[85],"feature":[86],"firstly":[88],"mapped":[89],"space,":[93],"then":[95],"its":[97],"codes.":[99],"transfer":[101],"supervised":[102],"knowledge":[103],"from":[104],"seen":[105],"classes":[106],"margin-based":[111],"ranking":[112],"loss":[113],"employed":[115],"learn":[117],"structure.":[120],"boost":[122],"discriminability":[124],"mapping,":[127],"classification":[129],"module":[130],"adopted":[132],"distinguish":[134],"between":[135],"different":[136],"mapping":[138],"vectors.":[139],"Plenty":[140],"experiments":[142],"demonstrate":[143],"that":[144],"VSH":[147],"superior":[149],"state-of-the-art":[151],"methods.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}