{"id":"https://openalex.org/W4312512129","doi":"https://doi.org/10.1109/tcsvt.2022.3213680","title":"Neighborhood-Adaptive Multi-Cluster Ranking for Deep Metric Learning","display_name":"Neighborhood-Adaptive Multi-Cluster Ranking for Deep Metric Learning","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4312512129","doi":"https://doi.org/10.1109/tcsvt.2022.3213680"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3213680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3213680","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5028723311","display_name":"Pandeng Li","orcid":"https://orcid.org/0000-0002-0717-8659"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pandeng Li","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0717-8659","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078162380","display_name":"Hongtao Xie","orcid":"https://orcid.org/0000-0002-6249-5315"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Xie","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6249-5315","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369181","display_name":"Yan Jiang","orcid":"https://orcid.org/0000-0002-7284-1226"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jiang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7284-1226","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008458929","display_name":"Jiannan Ge","orcid":"https://orcid.org/0000-0002-2580-9055"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiannan Ge","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1151-1792","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.4894,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63546873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"4","first_page":"1952","last_page":"1965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9990000128746033,"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/T11448","display_name":"Face recognition and analysis","score":0.9990000128746033,"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":0.9987999796867371,"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":0.998199999332428,"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/hypersphere","display_name":"Hypersphere","score":0.7310842275619507},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7151992917060852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55821293592453},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.47876229882240295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4753420352935791},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46987801790237427},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45919904112815857},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44622698426246643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41374245285987854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4027155339717865},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3469236493110657}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.7310842275619507},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7151992917060852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55821293592453},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.47876229882240295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4753420352935791},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46987801790237427},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45919904112815857},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44622698426246643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41374245285987854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4027155339717865},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3469236493110657},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3213680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3213680","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3316061764","display_name":null,"funder_award_id":"62022076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3595397656","display_name":null,"funder_award_id":"Y2021122","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3828173677","display_name":null,"funder_award_id":"62121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6179918720","display_name":null,"funder_award_id":"U1936210","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1503398984","https://openalex.org/W1742512077","https://openalex.org/W1797268635","https://openalex.org/W1849277567","https://openalex.org/W1875842236","https://openalex.org/W2037231462","https://openalex.org/W2039841289","https://openalex.org/W2067191022","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2124509324","https://openalex.org/W2128728535","https://openalex.org/W2135293965","https://openalex.org/W2138011018","https://openalex.org/W2157364932","https://openalex.org/W2162456950","https://openalex.org/W2170314267","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2471768434","https://openalex.org/W2584637367","https://openalex.org/W2605102252","https://openalex.org/W2606611007","https://openalex.org/W2612114597","https://openalex.org/W2615981376","https://openalex.org/W2621325716","https://openalex.org/W2890423208","https://openalex.org/W2895115565","https://openalex.org/W2895608766","https://openalex.org/W2900211993","https://openalex.org/W2917267381","https://openalex.org/W2948077755","https://openalex.org/W2948638722","https://openalex.org/W2955273087","https://openalex.org/W2962723992","https://openalex.org/W2962869940","https://openalex.org/W2962898354","https://openalex.org/W2963026686","https://openalex.org/W2963113119","https://openalex.org/W2963283377","https://openalex.org/W2963350250","https://openalex.org/W2963469388","https://openalex.org/W2964271799","https://openalex.org/W2969985801","https://openalex.org/W2974497444","https://openalex.org/W2981015789","https://openalex.org/W2981958729","https://openalex.org/W2984006054","https://openalex.org/W2991234496","https://openalex.org/W2991581349","https://openalex.org/W2991645104","https://openalex.org/W2997997511","https://openalex.org/W3034202663","https://openalex.org/W3034303554","https://openalex.org/W3034831986","https://openalex.org/W3035014997","https://openalex.org/W3035194537","https://openalex.org/W3035376925","https://openalex.org/W3036320503","https://openalex.org/W3074710551","https://openalex.org/W3098468692","https://openalex.org/W3101432304","https://openalex.org/W3106778652","https://openalex.org/W3109684201","https://openalex.org/W3111255625","https://openalex.org/W3127690492","https://openalex.org/W3128640903","https://openalex.org/W3135355900","https://openalex.org/W3155856217","https://openalex.org/W3168433561","https://openalex.org/W3169472988","https://openalex.org/W3175505770","https://openalex.org/W3175616662","https://openalex.org/W3175817778","https://openalex.org/W3175847745","https://openalex.org/W3195393327","https://openalex.org/W3211094189","https://openalex.org/W4214609630","https://openalex.org/W4283821214","https://openalex.org/W4294982470","https://openalex.org/W4313144963","https://openalex.org/W6638667902","https://openalex.org/W6730323794","https://openalex.org/W6757037870"],"related_works":["https://openalex.org/W2099702253","https://openalex.org/W2059484267","https://openalex.org/W1970780628","https://openalex.org/W2069017679","https://openalex.org/W2133653616","https://openalex.org/W51364034","https://openalex.org/W4384263420","https://openalex.org/W2898073868","https://openalex.org/W4386076684","https://openalex.org/W4284663758"],"abstract_inverted_index":{"Deep":[0],"metric":[1],"learning":[2],"methods":[3],"generally":[4],"concentrate":[5],"on":[6,40,203],"designing":[7],"distance-based":[8,157],"losses":[9],"to":[10,83,101],"learn":[11],"sample":[12,22,92,144,150,173],"embeddings,":[13],"which":[14],"tacitly":[15],"presuppose":[16],"the":[17,51,56,61,69,73,84,96,118,160,164,172,200,214],"neighborhood":[18,98,165],"structure":[19,71,147,161,166],"around":[20],"each":[21],"(e.g.,":[23],"hypersphere":[24],"for":[25],"Euclidean":[26],"distance).":[27],"However,":[28],"this":[29,105,107,182],"supposition":[30],"is":[31,37,66,77],"overly":[32],"optimistic:":[33],"1)":[34],"visual":[35],"data":[36],"often":[38],"located":[39],"low-dimensional":[41],"manifolds":[42],"curved":[43],"in":[44,60,72,131,175],"high-dimensional":[45],"space,":[46],"and":[47,146,208,218],"all":[48],"regions":[49],"of":[50,86,120,141],"manifold":[52],"may":[53],"hardly":[54],"share":[55],"same":[57],"local":[58,70,121],"structures":[59,99],"input":[62],"space;":[63],"2)":[64],"it":[65],"unlikely":[67],"that":[68,125],"output":[74],"embedding":[75,145,151,162,174],"space":[76],"as":[78,80],"homogeneous":[79],"assumed":[81],"due":[82],"non-linearity":[85],"neural":[87],"networks.":[88],"Hence,":[89],"simply":[90],"characterizing":[91],"embeddings":[93,142,194],"while":[94,159],"ignoring":[95],"respective":[97],"leads":[100],"limitations.":[102],"To":[103],"address":[104],"problem,":[106],"paper":[108],"presents":[109],"a":[110,176],"Neighborhood-Adaptive":[111],"Multi-cluster":[112],"Ranking":[113],"(NAMR)":[114],"framework":[115],"by":[116],"leveraging":[117],"heterogeneity":[119],"structures.":[122],"Specifically,":[123],"considering":[124],"indexing":[126,185],"algorithms":[127,186],"are":[128],"usually":[129],"required":[130],"large-scale":[132,190],"retrieval,":[133],"NAMR":[134,193],"characterizes":[135],"an":[136],"image":[137],"from":[138],"two":[139],"kinds":[140],"(i.e.,":[143],"embedding).":[148],"The":[149],"can":[152,167,187],"be":[153,168],"trained":[154],"using":[155],"any":[156,196],"loss,":[158],"representing":[163],"jointly":[169],"learned":[170],"with":[171],"self-supervised":[177],"multi-cluster":[178],"ranking":[179],"manner.":[180],"In":[181],"way,":[183],"existing":[184],"seamlessly":[188],"support":[189],"retrieval":[191],"employing":[192],"without":[195],"modifications.":[197],"We":[198],"evaluate":[199],"proposed":[201],"model":[202],"five":[204],"standard":[205],"benchmarks,":[206],"consistently":[207],"explicitly":[209],"improving":[210],"four":[211],"baselines":[212],"(especially":[213],"simplest":[215],"triplet":[216],"loss)":[217],"achieving":[219],"state-of-the-art":[220],"performance.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
