{"id":"https://openalex.org/W2998319917","doi":"https://doi.org/10.1145/3328995","title":"Deep Scalable Supervised Quantization by Self-Organizing Map","display_name":"Deep Scalable Supervised Quantization by Self-Organizing Map","publication_year":2019,"publication_date":"2019-08-20","ids":{"openalex":"https://openalex.org/W2998319917","doi":"https://doi.org/10.1145/3328995","mag":"2998319917"},"language":"en","primary_location":{"id":"doi:10.1145/3328995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328995","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100340979","display_name":"Min Wang","orcid":"https://orcid.org/0000-0003-3048-6980"},"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":true,"raw_author_name":"Min Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"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":"Wengang Zhou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab; University of Texas at San Antonio, San Antonio, Texas","Huawei Noah's Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab; University of Texas at San Antonio, San Antonio, Texas","institution_ids":[]},{"raw_affiliation_string":"Huawei Noah's Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"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":"Houqiang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100340979"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62072711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"3","first_page":"1","last_page":"18"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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":0.7469282746315002},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.7119488716125488},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6858317255973816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664643287658691},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6430637836456299},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6266332864761353},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5582790374755859},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5552002191543579},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5535688996315002},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5321266651153564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4696447253227234},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4557804763317108},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4296967089176178},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.428798109292984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36437922716140747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35312315821647644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1713663637638092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15031591057777405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469282746315002},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.7119488716125488},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6858317255973816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664643287658691},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6430637836456299},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6266332864761353},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5582790374755859},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5552002191543579},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5535688996315002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5321266651153564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4696447253227234},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4557804763317108},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4296967089176178},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.428798109292984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36437922716140747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35312315821647644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1713663637638092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15031591057777405},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328995","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5249506142","display_name":null,"funder_award_id":"61822208, 61632019 and 61836011","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1489116628","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1963882359","https://openalex.org/W1964858027","https://openalex.org/W1970201160","https://openalex.org/W1974647172","https://openalex.org/W1988674770","https://openalex.org/W1998803396","https://openalex.org/W2007972815","https://openalex.org/W2068072682","https://openalex.org/W2089632823","https://openalex.org/W2095004878","https://openalex.org/W2112796928","https://openalex.org/W2124509324","https://openalex.org/W2130230179","https://openalex.org/W2148554573","https://openalex.org/W2186561432","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2464915613","https://openalex.org/W2473499128","https://openalex.org/W2527613882","https://openalex.org/W2560977758","https://openalex.org/W2562322388","https://openalex.org/W2593190442","https://openalex.org/W2594105920","https://openalex.org/W2602753196","https://openalex.org/W2737652487","https://openalex.org/W2752930373","https://openalex.org/W2754259372","https://openalex.org/W2765323189","https://openalex.org/W2766724094","https://openalex.org/W2771872884","https://openalex.org/W2781821509","https://openalex.org/W2798834175","https://openalex.org/W2798956329","https://openalex.org/W2799245683","https://openalex.org/W2889119508","https://openalex.org/W2896580719","https://openalex.org/W2907166662","https://openalex.org/W2962849264","https://openalex.org/W2963173190","https://openalex.org/W2963916624","https://openalex.org/W3103722964","https://openalex.org/W4234384669","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2576436359","https://openalex.org/W2100968651","https://openalex.org/W132234736","https://openalex.org/W4243803532","https://openalex.org/W2081292399","https://openalex.org/W2991694221","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853"],"abstract_inverted_index":{"Approximate":[0],"Nearest":[1],"Neighbor":[2],"(ANN)":[3],"search":[4,191],"is":[5,212],"an":[6],"important":[7],"research":[8],"topic":[9],"in":[10,106,142,148,214],"multimedia":[11],"and":[12,41,78,99,138,162,209],"computer":[13],"vision":[14],"fields.":[15],"In":[16],"this":[17,32],"article,":[18],"we":[19,67,128],"propose":[20,129],"a":[21,45,124,154,168,195],"new":[22],"deep":[23,47,92,97,113,198],"supervised":[24,54,64,114],"quantization":[25,55,65,115],"method":[26,35,116],"by":[27],"Self-Organizing":[28,42],"Map":[29,43],"to":[30,130,204],"address":[31],"problem.":[33],"Our":[34],"integrates":[36],"the":[37,63,69,72,80,83,91,101,111,132,150,182,188,215],"Convolutional":[38],"Neural":[39],"Networks":[40],"into":[44,103,135],"unified":[46],"architecture.":[48],"The":[49,145,174],"overall":[50],"training":[51,163],"objective":[52],"optimizes":[53],"loss":[56],"as":[57,59,194],"well":[58],"classification":[60],"loss.":[61],"With":[62],"objective,":[66],"minimize":[68],"differences":[70,81],"on":[71,82,176],"maps":[73,84,147],"between":[74,85],"similar":[75],"image":[76,87],"pairs":[77],"maximize":[79],"dissimilar":[86],"pairs.":[88],"By":[89],"optimization,":[90],"architecture":[93,199],"can":[94,200],"simultaneously":[95],"extract":[96],"features":[98,102],"quantize":[100],"suitable":[104],"nodes":[105],"self-organizing":[107,126,140,146,156,169],"map.":[108],"To":[109],"make":[110],"proposed":[112],"scalable":[117],"for":[118],"large":[119,155],"datasets,":[120],"instead":[121],"of":[122,184],"constructing":[123,167],"larger":[125],"map,":[127,157],"divide":[131],"input":[133],"space":[134],"several":[136,177],"subspaces":[137,151],"construct":[139,153],"map":[141,170],"each":[143],"subspace.":[144],"all":[149],"implicitly":[152],"which":[158],"costs":[159],"less":[160],"memory":[161],"time":[164],"than":[165],"directly":[166,202],"with":[171,206],"equal":[172],"size.":[173],"experiments":[175],"public":[178],"standard":[179],"datasets":[180],"prove":[181],"superiority":[183],"our":[185,197],"approaches":[186],"over":[187],"existing":[189],"ANN":[190],"methods.":[192],"Besides,":[193],"by-product,":[196],"be":[201],"applied":[203],"visualization":[205],"little":[207],"modification,":[208],"promising":[210],"performance":[211],"demonstrated":[213],"experiments.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
