{"id":"https://openalex.org/W4392341354","doi":"https://doi.org/10.1145/3664647.3680903","title":"NFT1000: A Cross-Modal Dataset For Non-Fungible Token Retrieval","display_name":"NFT1000: A Cross-Modal Dataset For Non-Fungible Token Retrieval","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4392341354","doi":"https://doi.org/10.1145/3664647.3680903"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.16872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114626493","display_name":"Shuxun Wang","orcid":"https://orcid.org/0009-0009-8089-756X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuxun Wang","raw_affiliation_strings":["MAIS, Institute of Automation, CAS & School of AI, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS & School of AI, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074767449","display_name":"Yunfei Lei","orcid":"https://orcid.org/0000-0003-0099-0801"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Lei","raw_affiliation_strings":["Beijing University of Aeronautics and Astronautics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Aeronautics and Astronautics, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404392","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0002-8587-8618"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Zhang","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023154495","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3315-5370"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075202003","display_name":"Haowei Liu","orcid":"https://orcid.org/0000-0002-0439-2692"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowei Liu","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421351","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-8547-3760"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431492","display_name":"Wenjuan Li","orcid":"https://orcid.org/0000-0002-3833-2794"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451204","display_name":"Bing Li","orcid":"https://orcid.org/0000-0001-6114-1411"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjuan Li","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Gao","orcid":"https://orcid.org/0000-0002-8925-5215"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Gao","raw_affiliation_strings":["MAIS, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":null,"display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["MAIS, Institute of Automation, CAS & School of AI, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MAIS, Institute of Automation, CAS & School of AI, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5114626493"],"corresponding_institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.7479,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69076276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2214","last_page":"2222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9970999956130981,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9970999956130981,"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":0.9929999709129333,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9925000071525574,"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/security-token","display_name":"Security token","score":0.6814676523208618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615906953811646},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37284189462661743},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21924102306365967}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6814676523208618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615906953811646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37284189462661743},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21924102306365967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3680903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.16872","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.16872","pdf_url":"https://arxiv.org/pdf/2402.16872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.16872","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.16872","pdf_url":"https://arxiv.org/pdf/2402.16872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1773149199","https://openalex.org/W2194775991","https://openalex.org/W2897450989","https://openalex.org/W3093203468","https://openalex.org/W4211092666","https://openalex.org/W4306820534","https://openalex.org/W4386083043"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W2967478618","https://openalex.org/W4385009901","https://openalex.org/W4385572700","https://openalex.org/W4307309205","https://openalex.org/W4288261899","https://openalex.org/W2997152889","https://openalex.org/W4387768015"],"abstract_inverted_index":{"With":[0],"the":[1,24,66,113,122,133,147,156,177],"rise":[2],"of":[3,16,26,53,69,125,155,182],"\"Metaverse\"":[4],"and":[5,76,99,120,179],"\"Web":[6],"3.0\",":[7],"Non-Fungible":[8],"Token":[9],"(NFT)":[10],"has":[11],"emerged":[12],"as":[13,128,191],"a":[14,44,50,85,143,168],"kind":[15],"pivotal":[17],"digital":[18],"asset,":[19],"garnering":[20],"significant":[21],"attention.":[22],"By":[23],"end":[25],"March":[27],"2024,":[28],"more":[29,196],"than":[30],"1.7":[31],"billion":[32],"NFTs":[33,54],"have":[34],"been":[35],"minted":[36],"across":[37],"various":[38],"blockchain":[39],"platforms.":[40],"To":[41],"effectively":[42],"locate":[43],"desired":[45],"NFT,":[46],"conducting":[47],"searches":[48],"within":[49],"vast":[51],"array":[52],"is":[55,62],"essential.":[56],"The":[57,186],"challenge":[58],"in":[59,142,146],"NFT":[60,107],"retrieval":[61,180],"heightened":[63],"due":[64],"to":[65,175],"high":[67],"degree":[68],"similarity":[70,178],"among":[71],"different":[72],"NFTs,":[73],"regarding":[74],"regional":[75],"semantic":[77],"aspects.":[78],"In":[79],"this":[80,118],"paper,":[81],"we":[82,131],"will":[83,188],"introduce":[84],"benchmark":[86],"dataset":[87,119,187],"named":[88],"\"NFT":[89],"Top1000":[90],"Visual-Text":[91],"Dataset\"":[92],"(NFT1000),":[93],"containing":[94],"7.56":[95],"million":[96,161],"image-text":[97],"pairs,":[98],"being":[100],"collected":[101],"from":[102],"1000":[103],"most":[104],"famous":[105],"PFP1":[106],"collections2":[108],"by":[109],"sales":[110],"volume":[111],"on":[112,117],"Ethereum":[114],"blockchain.":[115],"Based":[116],"leveraging":[121],"CLIP":[123],"series":[124],"pre-trained":[126],"models":[127],"our":[129],"foundation,":[130],"propose":[132,167],"dynamic":[134],"masking":[135],"fine-tuning":[136],"scheme.":[137],"This":[138],"innovative":[139],"approach":[140],"results":[141],"7.4\\%":[144],"improvement":[145],"top1":[148],"accuracy":[149],"rate,":[150],"while":[151],"utilizing":[152],"merely":[153],"13\\%":[154],"total":[157],"training":[158],"data":[159],"(0.79":[160],"vs.":[162],"6.1":[163],"million).":[164],"We":[165],"also":[166],"robust":[169],"metric":[170],"Comprehensive":[171],"Variance":[172],"Index":[173],"(CVI)":[174],"assess":[176],"difficulty":[181],"visual-text":[183],"pairs":[184],"data.":[185],"be":[189],"released":[190],"an":[192],"open-source":[193],"resource.":[194],"For":[195],"details,":[197],"please":[198],"refer":[199],"to:":[200],"https://github.com/ShuxunoO/NFT-Net.git.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}