{"id":"https://openalex.org/W4205884078","doi":"https://doi.org/10.1109/tcsvt.2021.3137593","title":"Towards Learning Multi-Domain Crowd Counting","display_name":"Towards Learning Multi-Domain Crowd Counting","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4205884078","doi":"https://doi.org/10.1109/tcsvt.2021.3137593"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3137593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3137593","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/A5088942420","display_name":"Zhaoyi Yan","orcid":"https://orcid.org/0000-0001-5155-5741"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyi Yan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5155-5741","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395627","display_name":"Pengyu Li","orcid":"https://orcid.org/0000-0003-3485-324X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Li","raw_affiliation_strings":["DAMO Academy, Alibaba, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3485-324X","affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439506","display_name":"Biao Wang","orcid":"https://orcid.org/0000-0003-2721-3957"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Wang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2721-3957","affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051402211","display_name":"Dongwei Ren","orcid":"https://orcid.org/0000-0002-0965-6810"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongwei Ren","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-0965-6810","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3330-783X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7167,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92019484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"11","first_page":"6544","last_page":"6557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020370006561279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6874421238899231},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6461526155471802},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6111609935760498},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5420727133750916},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.51547771692276},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5008285045623779},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4940841495990753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45566409826278687},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44021543860435486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43283653259277344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4264090657234192},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4185265600681305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40103453397750854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10740765929222107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020370006561279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6874421238899231},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6461526155471802},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6111609935760498},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5420727133750916},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.51547771692276},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5008285045623779},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4940841495990753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45566409826278687},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44021543860435486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43283653259277344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4264090657234192},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4185265600681305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40103453397750854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10740765929222107},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3137593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3137593","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":[],"awards":[{"id":"https://openalex.org/G1068922776","display_name":null,"funder_award_id":"U19A2073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6501353166","display_name":null,"funder_award_id":"62172127","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1682403713","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1910776219","https://openalex.org/W2036963181","https://openalex.org/W2072232009","https://openalex.org/W2073459066","https://openalex.org/W2187089797","https://openalex.org/W2342611082","https://openalex.org/W2463631526","https://openalex.org/W2741077351","https://openalex.org/W2752782242","https://openalex.org/W2756012011","https://openalex.org/W2798490576","https://openalex.org/W2802501778","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2913340405","https://openalex.org/W2914974653","https://openalex.org/W2924040726","https://openalex.org/W2945574898","https://openalex.org/W2950956440","https://openalex.org/W2962897020","https://openalex.org/W2963000224","https://openalex.org/W2963035940","https://openalex.org/W2963211188","https://openalex.org/W2963424663","https://openalex.org/W2963693541","https://openalex.org/W2963877604","https://openalex.org/W2963893037","https://openalex.org/W2964209782","https://openalex.org/W2964264515","https://openalex.org/W2964285767","https://openalex.org/W2964503501","https://openalex.org/W2967069910","https://openalex.org/W2967776630","https://openalex.org/W2968848584","https://openalex.org/W2969620138","https://openalex.org/W2976549228","https://openalex.org/W2977057439","https://openalex.org/W2981436300","https://openalex.org/W2982007926","https://openalex.org/W2987761108","https://openalex.org/W2991203386","https://openalex.org/W2997403460","https://openalex.org/W3004672782","https://openalex.org/W3009231981","https://openalex.org/W3014641072","https://openalex.org/W3015084401","https://openalex.org/W3022222530","https://openalex.org/W3025497381","https://openalex.org/W3034785991","https://openalex.org/W3035082903","https://openalex.org/W3035193053","https://openalex.org/W3035307763","https://openalex.org/W3087861058","https://openalex.org/W3106949330","https://openalex.org/W3107554785","https://openalex.org/W3109272290","https://openalex.org/W3113251869","https://openalex.org/W3129372643","https://openalex.org/W3159649695","https://openalex.org/W3176047859","https://openalex.org/W3179409472","https://openalex.org/W4288405981","https://openalex.org/W4295312788","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6668990524","https://openalex.org/W6725543821","https://openalex.org/W6738045163","https://openalex.org/W6759443934","https://openalex.org/W6763675127","https://openalex.org/W6766978945","https://openalex.org/W6773441890","https://openalex.org/W6775294604","https://openalex.org/W6776496245","https://openalex.org/W6783507135","https://openalex.org/W6798390832","https://openalex.org/W6891873056"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2440023763","https://openalex.org/W2962474440","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Recently,":[0],"deep":[1,57],"learning-based":[2],"crowd":[3,39,53,73],"counting":[4,54],"methods":[5,213],"have":[6],"achieved":[7],"promising":[8],"performance":[9,21],"on":[10,27,185,214],"test":[11],"data":[12],"with":[13],"the":[14,34,108,156,160,177],"same":[15],"distribution":[16],"as":[17],"training":[18,173,205],"set,":[19],"while":[20],"degradation":[22],"usually":[23],"occurs":[24],"when":[25,172],"testing":[26,96],"other":[28],"or":[29],"unseen":[30,181],"domains.":[31,124],"Due":[32],"to":[33,50,106,154,159,180,210],"variations":[35],"in":[36,148],"scene":[37],"contexts,":[38],"densities":[40],"and":[41,89,114,138],"head":[42],"scales,":[43],"it":[44],"is":[45,104],"a":[46,64,95,99],"very":[47],"challenging":[48],"issue":[49],"tackle":[51],"multi-domain":[52,72,196],"using":[55,198],"one":[56,199],"model.":[58,201],"In":[59,75],"this":[60],"work,":[61],"we":[62],"propose":[63,127],"domain-guided":[65,129],"channel":[66,84,102,146],"attention":[67,103,147],"network":[68],"(DCANet)":[69],"towards":[70],"learning":[71,130],"counting.":[74],"particular,":[76],"our":[77,116,190,203],"DCANet":[78,117,191],"consists":[79],"of":[80,110,162],"feature":[81,112],"extraction":[82,109],"module,":[83],"attention-guided":[85],"multi-dilation":[86],"(CAMD)":[87],"module":[88],"density":[90],"map":[91],"prediction":[92],"module.":[93],"Given":[94],"image":[97],"from":[98,122],"certain":[100],"domain,":[101],"adopted":[105],"guide":[107],"domain-specific":[111],"representation,":[113],"thus":[115],"can":[118,150,168,207],"adaptively":[119,170],"handle":[120],"images":[121],"multiple":[123],"We":[125],"further":[126],"two":[128],"strategies,":[131],"i.e.,":[132],"dataset-level":[133],"domain":[134,140,161,216],"kernel":[135,141],"(DDK)":[136],"supervision":[137],"image-level":[139],"(IDK)":[142],"supervision,":[143],"by":[144],"which":[145],"CAMD":[149],"be":[151,169,208],"explicitly":[152],"optimized":[153],"emphasize":[155],"channels":[157],"corresponding":[158],"an":[163],"input":[164],"image.":[165],"Furthermore,":[166],"IDK":[167,204],"updated":[171],"DCANet,":[174],"thereby":[175],"improving":[176],"generalization":[178],"ability":[179],"scenes.":[182],"Experimental":[183],"results":[184],"benchmark":[186],"datasets":[187,197],"show":[188],"that":[189],"performs":[192],"favorably":[193],"for":[194],"handling":[195],"single":[200,215],"Moreover,":[202],"strategy":[206],"applied":[209],"boost":[211],"state-of-the-art":[212],"dataset.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
