{"id":"https://openalex.org/W4310998466","doi":"https://doi.org/10.48550/arxiv.2212.04127","title":"Progressive Multi-resolution Loss for Crowd Counting","display_name":"Progressive Multi-resolution Loss for Crowd Counting","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4310998466","doi":"https://doi.org/10.48550/arxiv.2212.04127"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2212.04127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04127","pdf_url":"https://arxiv.org/pdf/2212.04127","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.04127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106743656","display_name":"Ziheng Yan","orcid":"https://orcid.org/0009-0003-7428-558X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yan, Ziheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070842891","display_name":"Yuankai Qi","orcid":"https://orcid.org/0000-0003-4312-5682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Yuankai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775216","display_name":"Guorong Li","orcid":"https://orcid.org/0000-0003-3954-2387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Guorong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439402","display_name":"Xinyan Liu","orcid":"https://orcid.org/0000-0003-2638-4324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weigang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Qingming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Ming-Hsuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5106743656"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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":0.9980000257492065,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9947999715805054,"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/resolution","display_name":"Resolution (logic)","score":0.5729374885559082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46399566531181335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39173221588134766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3828962743282318}],"concepts":[{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5729374885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46399566531181335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39173221588134766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3828962743282318}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2212.04127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04127","pdf_url":"https://arxiv.org/pdf/2212.04127","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2212.04127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.04127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2212.04127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04127","pdf_url":"https://arxiv.org/pdf/2212.04127","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310998466.pdf","grobid_xml":"https://content.openalex.org/works/W4310998466.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Crowd":[0],"counting":[1,128],"is":[2,12,92,100],"usually":[3],"handled":[4],"in":[5,75],"a":[6,15,40,77,81,103],"density":[7,21,45,57,65],"map":[8,22,58,66],"regression":[9],"fashion,":[10],"which":[11],"supervised":[13],"via":[14],"L2":[16,32,90,105],"loss":[17,33,91,113],"between":[18,43],"the":[19,56,64,72,87,111],"predicted":[20,44],"and":[23,46,109,118,135],"ground":[24],"truth.":[25],"To":[26],"effectively":[27],"regulate":[28],"models,":[29],"various":[30],"improved":[31],"functions":[34],"have":[35],"been":[36],"proposed":[37,112],"to":[38,54,102,122],"find":[39],"better":[41],"correspondence":[42],"annotation":[47],"positions.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,79],"propose":[53],"predict":[55],"at":[59,67],"one":[60],"resolution":[61],"but":[62],"measure":[63],"multiple":[68],"resolutions.":[69],"By":[70],"maximizing":[71],"posterior":[73],"probability":[74],"such":[76],"setting,":[78],"obtain":[80],"log-formed":[82],"multi-resolution":[83],"L2-difference":[84],"loss,":[85],"where":[86],"traditional":[88],"single-resolution":[89,104],"its":[93],"particular":[94],"case.":[95],"We":[96],"mathematically":[97],"prove":[98],"it":[99],"superior":[101],"loss.":[106],"Without":[107],"bells":[108],"whistles,":[110],"substantially":[114],"improves":[115],"several":[116],"baselines":[117],"performs":[119],"favorably":[120],"compared":[121],"state-of-the-art":[123],"methods":[124],"on":[125],"four":[126],"crowd":[127],"datasets,":[129],"ShanghaiTech":[130],"A":[131],"&amp;":[132],"B,":[133],"UCF-QNRF,":[134],"JHU-Crowd++.":[136]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
