{"id":"https://openalex.org/W2922295717","doi":"https://doi.org/10.1109/wacv.2019.00211","title":"Scale Pyramid Network for Crowd Counting","display_name":"Scale Pyramid Network for Crowd Counting","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922295717","doi":"https://doi.org/10.1109/wacv.2019.00211","mag":"2922295717"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2019.00211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5102912838","display_name":"Xinya Chen","orcid":"https://orcid.org/0000-0002-6537-4316"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"funder","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinya Chen","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023140183","display_name":"Yanrui Bin","orcid":"https://orcid.org/0000-0003-2845-3928"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"funder","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanrui Bin","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013734579","display_name":"Nong Sang","orcid":"https://orcid.org/0000-0002-9167-1496"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"funder","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nong Sang","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035295689","display_name":"Changxin Gao","orcid":"https://orcid.org/0000-0003-2736-3920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"funder","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxin Gao","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.935,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":134,"citation_normalized_percentile":{"value":0.999886,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1941","last_page":"1950"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9982,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/pyramid","display_name":"Pyramid (geometry)","score":0.81418025},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.41768292}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.81418025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167641},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.61641234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55732936},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.5018821},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4678707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4309484},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.41768292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.331282},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2117576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15252778},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2019.00211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W1542079534","https://openalex.org/W1686810756","https://openalex.org/W1910776219","https://openalex.org/W1976959044","https://openalex.org/W2031454541","https://openalex.org/W2066099897","https://openalex.org/W2072232009","https://openalex.org/W2075875861","https://openalex.org/W2123175289","https://openalex.org/W2145983039","https://openalex.org/W2147221461","https://openalex.org/W2155893237","https://openalex.org/W2155916750","https://openalex.org/W2207893099","https://openalex.org/W2394843433","https://openalex.org/W2412782625","https://openalex.org/W2463631526","https://openalex.org/W2516908515","https://openalex.org/W2517615595","https://openalex.org/W2519281173","https://openalex.org/W2520826941","https://openalex.org/W2630837129","https://openalex.org/W2729018917","https://openalex.org/W2741077351","https://openalex.org/W2798490576","https://openalex.org/W2798781811","https://openalex.org/W2884960332","https://openalex.org/W2962720716","https://openalex.org/W2962832028","https://openalex.org/W2962854645","https://openalex.org/W2963035940","https://openalex.org/W2963231953","https://openalex.org/W2963717945","https://openalex.org/W2963840672","https://openalex.org/W2964018834","https://openalex.org/W2964046724","https://openalex.org/W2964203052","https://openalex.org/W2964209782","https://openalex.org/W2964264515"],"related_works":["https://openalex.org/W44395729","https://openalex.org/W4375867731","https://openalex.org/W4322723290","https://openalex.org/W4249847449","https://openalex.org/W2611989081","https://openalex.org/W2375996887","https://openalex.org/W2368976073","https://openalex.org/W2347222412","https://openalex.org/W2181722423","https://openalex.org/W2085601491"],"abstract_inverted_index":{"Crowd":[0],"counting":[1,211],"is":[2,13,52,58,179],"a":[3,74,81,159],"concerned":[4],"yet":[5],"challenging":[6,180],"task":[7],"in":[8,19,91,110],"computer":[9],"vision.":[10],"The":[11,233],"difficulty":[12],"particularly":[14],"pronounced":[15],"by":[16,29,94],"scale":[17,126,187,247],"variations":[18],"crowd":[20,243],"images.":[21],"Most":[22],"state-of-art":[23],"approaches":[24],"tackle":[25],"the":[26,50,67,199,229,237],"multi-scale":[27,89],"problem":[28],"adopting":[30],"multi-column":[31],"CNN":[32],"architectures":[33],"where":[34],"different":[35,40,105,117],"columns":[36,64],"are":[37],"designed":[38],"with":[39,116,125,132,141,246],"filter":[41],"sizes":[42],"to":[43,45,60,66,120,158],"adapt":[44],"variable":[46],"pedestrian/object":[47],"sizes.":[48,118],"However,":[49],"structure":[51,86,131,143],"bloated":[53],"and":[54,56,87,144,186,194,213],"inefficient,":[55],"it":[57],"infeasible":[59],"adopt":[61],"multiple":[62],"deep":[63,84,160],"due":[65],"huge":[68],"resource":[69],"cost.":[70],"We":[71,203],"instead":[72,112],"propose":[73],"Scale":[75,95,99,133,151],"Pyramid":[76,96,100,134,152],"Network":[77],"(SPN)":[78],"which":[79,178],"adopts":[80],"shared":[82],"single":[83,129],"column":[85,130],"extracts":[88],"information":[90],"high":[92],"layers":[93],"Module.":[97],"In":[98],"Module,":[101],"we":[102,189],"specifically":[103],"employ":[104],"rates":[106],"of":[107,113,123,147,239],"dilated":[108],"convolutions":[109,115],"parallel":[111],"traditional":[114],"Compared":[119],"other":[121],"methods":[122],"coping":[124],"issues,":[127],"our":[128,150,169,206,240],"Module":[135,153],"can":[136,154],"get":[137],"more":[138],"accurate":[139],"estimation":[140],"simpler":[142],"less":[145],"complexity":[146],"training.":[148],"And":[149],"be":[155],"easily":[156],"applied":[157],"network.":[161],"Experimental":[162],"results":[163,235],"on":[164,208],"four":[165],"datasets":[166],"show":[167],"that":[168],"method":[170],"achieves":[171],"state-of-the-art":[172,201,231],"performance.":[173],"On":[174],"ShanghaiTech":[175],"Part_A":[176],"dataset":[177,212],"for":[181,242],"its":[182],"highly":[183],"congested":[184],"scenes":[185],"variation,":[188],"achieve":[190,215],"9.5%":[191],"lower":[192,196,217,220,223,226],"MAE":[193],"13.5%":[195],"MSE":[197],"than":[198,228],"previous":[200,230],"method.":[202,232],"also":[204],"extend":[205],"model":[207,241],"TRANCOS":[209],"vehicle":[210],"significantly":[214],"5.9%":[216],"GAME(0),":[218],"10%":[219],"GAME(1),":[221],"24.5%":[222],"GAME(2),":[224],"38.7%":[225],"GAME(3)":[227],"experimental":[234],"prove":[236],"robustness":[238],"counting,":[244],"especially":[245],"variations.":[248]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2922295717","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":5}],"updated_date":"2025-04-20T20:02:11.837592","created_date":"2019-03-22"}