{"id":"https://openalex.org/W4394712452","doi":"https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128","title":"Twin Branch Transformers-Based Re-Ranking for Image Retrieval","display_name":"Twin Branch Transformers-Based Re-Ranking for Image Retrieval","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4394712452","doi":"https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128"},"language":"en","primary_location":{"id":"doi:10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","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/A5100438235","display_name":"Ziqi Wang","orcid":"https://orcid.org/0000-0002-0232-125X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqi Wang","raw_affiliation_strings":["Institute of Information Engineering Chinese Academy of Sciences,Beijing,China","Institute of Information Engineering Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Information Engineering Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Shenzhen Campus of Sun Yat-sen University,School of Cyber Science and Technology,Shenzhen,China","School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Campus of Sun Yat-sen University,School of Cyber Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100438235"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21918371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs/2108.07548","issue":null,"first_page":"736","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6969000101089478,"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":0.6969000101089478,"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":0.6456862688064575},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4798297882080078},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4731532037258148},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45940250158309937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4551257789134979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36278510093688965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2848554849624634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10593011975288391},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08732444047927856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456862688064575},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4798297882080078},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4731532037258148},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45940250158309937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4551257789134979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36278510093688965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2848554849624634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10593011975288391},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08732444047927856},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2076434944","https://openalex.org/W2157364932","https://openalex.org/W2471962767","https://openalex.org/W2544587078","https://openalex.org/W2902101981","https://openalex.org/W2951019013","https://openalex.org/W2962705366","https://openalex.org/W2963154697","https://openalex.org/W2963588253","https://openalex.org/W2964157791","https://openalex.org/W2966779056","https://openalex.org/W2969985801","https://openalex.org/W2982524430","https://openalex.org/W2990519439","https://openalex.org/W3035305184","https://openalex.org/W3100623370","https://openalex.org/W3102713912","https://openalex.org/W3110536152","https://openalex.org/W3137228985","https://openalex.org/W3151130473","https://openalex.org/W3185561982","https://openalex.org/W3188851454","https://openalex.org/W3195672100","https://openalex.org/W3209806402","https://openalex.org/W3217610095","https://openalex.org/W4224315226","https://openalex.org/W4225524821","https://openalex.org/W4226418765","https://openalex.org/W4304091545","https://openalex.org/W4313291134","https://openalex.org/W4404658388","https://openalex.org/W6788135285","https://openalex.org/W6800297242","https://openalex.org/W6850462617"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"retrieval":[1,207,229],"as":[2],"an":[3,80,154],"essential":[4],"task":[5],"in":[6,68,227,234],"computer":[7],"vision":[8],"aims":[9],"to":[10,13,66,93,125,137],"search":[11],"images":[12,32,41,160],"match":[14],"a":[15,24,28,34,106,116,133,172,177],"given":[16],"query":[17],"image,":[18],"which":[19],"could":[20,51,151],"be":[21,67],"solved":[22],"with":[23,33,42,119,176,216],"two-stage":[25],"model:":[26],"retrieving":[27],"series":[29],"of":[30,55,79,209],"candidate":[31],"global":[35],"image":[36,81],"descriptor;":[37],"re-ranking":[38,60,110,213],"the":[39,53,59,64,88,96,127,140,158,186,194,206,228,235],"nearest":[40],"local":[43,56,149],"descriptors.":[44],"Recent":[45],"study":[46],"indicates":[47],"that":[48,148,205],"Transformer":[49],"technique":[50],"reduce":[52],"number":[54],"descriptors":[57,150],"for":[58],"process,":[61],"and":[62,122,190,197,220,231],"enable":[63],"model":[65,128],"parallel.":[69],"However,":[70],"there":[71],"still":[72],"exist":[73],"some":[74],"problems:":[75],"different":[76,85],"input":[77],"orders":[78],"pair":[82],"will":[83],"produce":[84],"outputs":[86],"(non-symmetric);":[87],"mean":[89],"aggregation":[90,135],"module":[91,118,136],"fails":[92],"find":[94],"out":[95],"difference":[97,143],"between":[98,144,167],"two":[99,145,159,168],"images.":[100],"To":[101,163],"this":[102],"end,":[103],"we":[104,114,131,170,182],"propose":[105],"twin":[107],"branch":[108],"Transformers-based":[109],"approach":[111],"(TBT-RR).":[112],"Specifically,":[113],"utilize":[115],"cross-attention":[117,179],"shared":[120],"weights":[121],"segment":[123],"embeddings":[124],"make":[126],"symmetrical.":[129],"Then,":[130],"design":[132,171],"learnable":[134],"adaptively":[138],"take":[139],"average":[141],"or":[142],"images,":[146,169],"so":[147],"quickly":[152],"reach":[153],"agreement":[155],"on":[156,185,193],"whether":[157],"are":[161],"matched.":[162],"output":[164],"similarity":[165,173],"scores":[166],"estimation":[174],"pipeline":[175],"one-way":[178],"module.":[180],"Finally,":[181],"train":[183],"TBT-RR":[184,210,223],"Google":[187],"Landmark":[188],"dataset":[189],"test":[191],"it":[192],"Revisited":[195,198],"Oxford":[196],"Paris":[199],"datasets.":[200],"The":[201],"experimental":[202],"results":[203,208],"show":[204],"outperform":[211],"previous":[212],"approaches.":[214],"Besides,":[215],"less":[217],"memory":[218],"usage":[219],"parameter":[221],"scale,":[222],"has":[224],"50%":[225],"increase":[226],"speed":[230],"40%":[232],"reduction":[233],"computational":[236],"complexity.":[237]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}