{"id":"https://openalex.org/W3162271575","doi":"https://doi.org/10.1109/icassp39728.2021.9413949","title":"Lightweight Dual-Task Networks For Crowd Counting In Aerial Images","display_name":"Lightweight Dual-Task Networks For Crowd Counting In Aerial Images","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3162271575","doi":"https://doi.org/10.1109/icassp39728.2021.9413949","mag":"3162271575"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5101553868","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-4050-3097"},"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":true,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085851488","display_name":"Chengzhen Duan","orcid":null},"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":"Chengzhen Duan","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004074785","display_name":"Ruilin Zhang","orcid":"https://orcid.org/0000-0002-4818-9282"},"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":"Ruilin Zhang","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030234345","display_name":"Zhiwei Wei","orcid":"https://orcid.org/0000-0002-3494-3686"},"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":"Zhiwei Wei","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608721","display_name":"Hongpeng Wang","orcid":"https://orcid.org/0000-0001-8108-2674"},"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":"Hongpeng Wang","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101553868"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54001634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1975","last_page":"1979"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"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":0.806270956993103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6662665605545044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6239930391311646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5115700364112854},{"id":"https://openalex.org/keywords/counting-problem","display_name":"Counting problem","score":0.45140373706817627},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.44364798069000244},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4136314392089844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3116087019443512},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2750283479690552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806270956993103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6662665605545044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6239930391311646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5115700364112854},{"id":"https://openalex.org/C16592021","wikidata":"https://www.wikidata.org/wiki/Q5177154","display_name":"Counting problem","level":2,"score":0.45140373706817627},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.44364798069000244},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4136314392089844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3116087019443512},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2750283479690552},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2072232009","https://openalex.org/W2161969291","https://openalex.org/W2463631526","https://openalex.org/W2630837129","https://openalex.org/W2741077351","https://openalex.org/W2752782242","https://openalex.org/W2886443245","https://openalex.org/W2949333977","https://openalex.org/W2963604034","https://openalex.org/W2964209782","https://openalex.org/W2964309882","https://openalex.org/W2964350391","https://openalex.org/W2967069910","https://openalex.org/W2969620138","https://openalex.org/W2975467257","https://openalex.org/W2980794690","https://openalex.org/W2981436300","https://openalex.org/W2992214693","https://openalex.org/W2998802733","https://openalex.org/W3034785991","https://openalex.org/W3035307763","https://openalex.org/W3035414587","https://openalex.org/W4288102111","https://openalex.org/W6694260854","https://openalex.org/W6739696289","https://openalex.org/W6746123559","https://openalex.org/W6748481559","https://openalex.org/W6767839269","https://openalex.org/W6772261133"],"related_works":["https://openalex.org/W4396860960","https://openalex.org/W4390482660","https://openalex.org/W2972256598","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474","https://openalex.org/W2099047584","https://openalex.org/W4327521163"],"abstract_inverted_index":{"As":[0],"a":[1,48,75,92],"research":[2],"hotspot":[3],"of":[4,33],"computer":[5],"vision,":[6],"crowd":[7,17,54,89,118,130],"counting":[8,18,119,131],"methods":[9,27,115],"have":[10],"achieved":[11],"success":[12],"in":[13,19,66,87],"natural":[14,129],"images.":[15],"But":[16],"aerial":[20,67,117],"images":[21,68],"are":[22,105],"rarely":[23],"explored,":[24],"and":[25,40,122],"existing":[26,109,114],"do":[28],"not":[29],"perform":[30],"well":[31],"because":[32],"the":[34,100],"higher":[35],"resolution,":[36],"smaller":[37],"object":[38],"scale":[39],"more":[41],"complex":[42,101],"scene.":[43],"Therefore,":[44],"this":[45],"paper":[46],"proposes":[47],"lightweight":[49],"dual-task":[50],"network":[51],"(LDNet)":[52],"for":[53],"counting,":[55],"which":[56,104],"only":[57],"uses":[58],"bifurcated":[59],"structure":[60],"to":[61,83,98],"overcome":[62],"these":[63],"new":[64],"challenges":[65],"without":[69],"complicated":[70],"pipelines.":[71],"To":[72],"realize":[73],"this,":[74],"complete":[76],"but":[77],"efficient":[78],"Guidance":[79],"Branch":[80,86],"is":[81,96],"proposed":[82],"assist":[84],"Counting":[85],"fitting":[88],"distribution.":[90],"Furthermore,":[91],"scene":[93,102],"attention":[94],"mechanism":[95],"used":[97],"consider":[99],"information,":[103],"never":[106],"considered":[107],"by":[108],"methods.":[110],"Our":[111],"LD-Net":[112],"outperforms":[113],"on":[116,128],"dataset":[120],"(Visdrone),":[121],"gets":[123],"better":[124],"or":[125],"comparable":[126],"results":[127],"datasets":[132],"(UCF_CC_50,":[133],"UCF_QNRF,":[134],"ShanghaiTech":[135],"Part":[136],"A).":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
