{"id":"https://openalex.org/W4382998741","doi":"https://doi.org/10.1109/tcsvt.2023.3291824","title":"A Unified Object Counting Network With Object Occupation Prior","display_name":"A Unified Object Counting Network With Object Occupation Prior","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4382998741","doi":"https://doi.org/10.1109/tcsvt.2023.3291824"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3291824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3291824","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/A5033906895","display_name":"Shengqin Jiang","orcid":"https://orcid.org/0000-0003-0026-8210"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqin Jiang","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0026-8210","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434916","display_name":"Qing Wang","orcid":"https://orcid.org/0009-0004-0545-755X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-0545-755X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046711606","display_name":"Fengna Cheng","orcid":"https://orcid.org/0000-0002-3129-000X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengna Cheng","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3129-000X","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070842891","display_name":"Yuankai Qi","orcid":"https://orcid.org/0000-0003-4312-5682"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuankai Qi","raw_affiliation_strings":["Australian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4312-5682","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Liu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5512-6984","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2763,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82063879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"1147","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600710988044739},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6813492178916931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6559343338012695},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6277464628219604},{"id":"https://openalex.org/keywords/method","display_name":"Method","score":0.5056416988372803},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.463178426027298},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4109984338283539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38163360953330994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3709605932235718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3426316976547241},{"id":"https://openalex.org/keywords/object-oriented-programming","display_name":"Object-oriented programming","score":0.3271794319152832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1466841697692871},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09924384951591492},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.0837845504283905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600710988044739},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6813492178916931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6559343338012695},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6277464628219604},{"id":"https://openalex.org/C512554520","wikidata":"https://www.wikidata.org/wiki/Q815844","display_name":"Method","level":3,"score":0.5056416988372803},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.463178426027298},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4109984338283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38163360953330994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3709605932235718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3426316976547241},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.3271794319152832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1466841697692871},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09924384951591492},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0837845504283905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3291824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3291824","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":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1800022258","display_name":null,"funder_award_id":"62001237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2037785589","display_name":null,"funder_award_id":"U21B2044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5000227217","display_name":null,"funder_award_id":"2021K052A","funder_id":"https://openalex.org/F4320335471","funder_display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds"},{"id":"https://openalex.org/G5586728171","display_name":null,"funder_award_id":"2020r084","funder_id":"https://openalex.org/F4320335990","funder_display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology"},{"id":"https://openalex.org/G7186859231","display_name":null,"funder_award_id":"2021M701756","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335471","display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds","ror":null},{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1910776219","https://openalex.org/W2004815011","https://openalex.org/W2006170882","https://openalex.org/W2077961452","https://openalex.org/W2101611399","https://openalex.org/W2123175289","https://openalex.org/W2151666244","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2463631526","https://openalex.org/W2473930607","https://openalex.org/W2520723410","https://openalex.org/W2600230189","https://openalex.org/W2618530766","https://openalex.org/W2729018917","https://openalex.org/W2884282566","https://openalex.org/W2886443245","https://openalex.org/W2954929116","https://openalex.org/W2962854645","https://openalex.org/W2963035940","https://openalex.org/W2963072899","https://openalex.org/W2963566548","https://openalex.org/W2964189064","https://openalex.org/W2964209782","https://openalex.org/W2966271765","https://openalex.org/W2968848584","https://openalex.org/W2968851387","https://openalex.org/W2974777596","https://openalex.org/W2977057439","https://openalex.org/W2981864462","https://openalex.org/W3000570721","https://openalex.org/W3009231981","https://openalex.org/W3011692687","https://openalex.org/W3011986058","https://openalex.org/W3013987429","https://openalex.org/W3064678530","https://openalex.org/W3095317640","https://openalex.org/W3095336680","https://openalex.org/W3170764266","https://openalex.org/W3180392831","https://openalex.org/W3185504516","https://openalex.org/W3203495278","https://openalex.org/W3203845557","https://openalex.org/W4206673866","https://openalex.org/W4221160666","https://openalex.org/W4226527704","https://openalex.org/W4285295030","https://openalex.org/W4322745786","https://openalex.org/W6637373629","https://openalex.org/W6776069494","https://openalex.org/W6802340629"],"related_works":["https://openalex.org/W1996634615","https://openalex.org/W2128203364","https://openalex.org/W2937040659","https://openalex.org/W2108712229","https://openalex.org/W2165972381","https://openalex.org/W1565877111","https://openalex.org/W2895480205","https://openalex.org/W2769899322","https://openalex.org/W2367015181","https://openalex.org/W2607351769"],"abstract_inverted_index":{"The":[0,87,103,135,153,283],"counting":[1,28,70,77],"task,":[2],"which":[3,237],"plays":[4],"a":[5,33,74,95,100,114,221,227],"fundamental":[6],"role":[7],"in":[8,49,129],"numerous":[9],"applications":[10],"(e.g.,":[11,118],"crowd":[12],"counting,":[13],"traffic":[14],"statistics),":[15],"aims":[16],"to":[17,41,83,140,167,183,206,225,240,261],"predict":[18,168],"the":[19,66,80,126,157,169,184,191,198,208,242,277],"number":[20,229],"of":[21,91,156,190,196,230],"objects":[22],"with":[23,46],"various":[24],"densities.":[25],"Existing":[26],"object":[27,35,59,69,76,109,124],"tasks":[29],"are":[30,165,238],"designed":[31],"for":[32,149,234],"single":[34],"class.":[36],"However,":[37],"it":[38,214],"is":[39,138],"inevitable":[40],"encounter":[42],"newly":[43],"coming":[44],"data":[45,270],"new":[47,142,174,180,262],"classes":[48,143,175,263],"our":[50,254],"real":[51],"world.":[52],"We":[53,218],"name":[54],"this":[55,62,85,252],"scenario":[56],"as":[57,79],"evolving":[58,68],"counting.":[60],"In":[61],"paper,":[63],"we":[64,177,202],"build":[65],"first":[67,81,178],"dataset":[71,279,284],"and":[72,99,132,144,161,187,211,258,285],"propose":[73],"unified":[75],"network":[78,89],"attempt":[82],"address":[84],"task.":[86],"proposed":[88],"consists":[90],"two":[92],"key":[93,246],"components:":[94],"class-agnostic":[96,104,115,158],"mask":[97,105,117,159],"module":[98,106,137,160],"class-incremental":[101,136,192],"module.":[102,193],"learns":[107],"generic":[108],"occupation":[110],"prior":[111],"by":[112],"predicting":[113],"binary":[116],"1":[119],"denotes":[120],"there":[121],"exists":[122],"an":[123,130],"at":[125],"considering":[127],"position":[128],"image":[131,162],"0":[133],"otherwise).":[134],"used":[139,166,239],"handle":[141],"provides":[145],"discriminative":[146],"class":[147],"guidance":[148],"density":[150,171],"map":[151],"prediction.":[152],"combined":[154],"outputs":[155],"feature":[163],"extractor":[164],"final":[170],"map.":[172],"When":[173],"arrive,":[176],"add":[179],"neural":[181],"nodes":[182],"last":[185],"regression":[186],"classification":[188],"layers":[189],"Then,":[194],"instead":[195],"retraining":[197],"model":[199,209,243,255],"from":[200,244,248],"scratch,":[201],"utilize":[203],"knowledge":[204],"distillation":[205],"help":[207],"retain":[210],"consolidate":[212],"what":[213],"has":[215],"previously":[216],"learned.":[217],"also":[219],"employ":[220],"support":[222],"sample":[223],"bank":[224],"store":[226],"small":[228],"typical":[231],"training":[232],"samples":[233],"each":[235],"class,":[236],"prevent":[241],"forgetting":[245],"information":[247],"old":[249],"data.":[250],"With":[251],"design,":[253],"can":[256],"efficiently":[257],"effectively":[259],"adapt":[260],"while":[264],"maintaining":[265],"good":[266],"performance":[267],"on":[268,276],"already-seen":[269],"without":[271],"large-scale":[272],"retraining.":[273],"Extensive":[274],"experiments":[275],"collected":[278],"demonstrate":[280],"favorable":[281],"performance.":[282],"code":[286],"will":[287],"be":[288],"available":[289],"at:":[290],"<uri":[291],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[292],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Tanyjiang/EOCO</uri>":[293],".":[294]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}