{"id":"https://openalex.org/W4313044093","doi":"https://doi.org/10.1109/tim.2022.3219500","title":"HDA-Net: Hybrid Convolutional Neural Networks for Small Objects Recognization at Airports","display_name":"HDA-Net: Hybrid Convolutional Neural Networks for Small Objects Recognization at Airports","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313044093","doi":"https://doi.org/10.1109/tim.2022.3219500"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3219500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tim.2022.3219500","pdf_url":"https://ieeexplore.ieee.org/ielx7/19/4407674/09939036.pdf","source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/19/4407674/09939036.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012076140","display_name":"Shanliang Liu","orcid":"https://orcid.org/0000-0003-4723-0965"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanliang Liu","raw_affiliation_strings":["College of Safety Science and Engineering, Civil Aviation University of China, Tianjin, China","Tianjin Key Lab for Advanced Signal Processing, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4723-0965","affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059177878","display_name":"Renbiao Wu","orcid":"https://orcid.org/0000-0003-3820-2946"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renbiao Wu","raw_affiliation_strings":["College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","Tianjin Key Lab for Advanced Signal Processing, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3820-2946","affiliations":[{"raw_affiliation_string":"College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020525684","display_name":"Jingyi Qu","orcid":"https://orcid.org/0000-0002-9559-8900"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Qu","raw_affiliation_strings":["College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","Tianjin Key Lab for Advanced Signal Processing, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9559-8900","affiliations":[{"raw_affiliation_string":"College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021077941","display_name":"Yunlong Li","orcid":"https://orcid.org/0000-0003-4644-5147"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Li","raw_affiliation_strings":["College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","Tianjin Key Lab for Advanced Signal Processing, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4644-5147","affiliations":[{"raw_affiliation_string":"College of Electric Information and Automation and the Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012076140"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I28813325"],"apc_list":null,"apc_paid":null,"fwci":1.4286,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83183529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7729644179344177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5553544759750366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47546690702438354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4333912134170532}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7729644179344177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553544759750366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47546690702438354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4333912134170532}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3219500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tim.2022.3219500","pdf_url":"https://ieeexplore.ieee.org/ielx7/19/4407674/09939036.pdf","source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tim.2022.3219500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tim.2022.3219500","pdf_url":"https://ieeexplore.ieee.org/ielx7/19/4407674/09939036.pdf","source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2984458768","display_name":null,"funder_award_id":"U2133204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7599655252","display_name":null,"funder_award_id":"3122019185","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313044093.pdf","grobid_xml":"https://content.openalex.org/works/W4313044093.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2507296351","https://openalex.org/W2565639579","https://openalex.org/W2884585870","https://openalex.org/W2890785584","https://openalex.org/W2934198733","https://openalex.org/W2950141105","https://openalex.org/W2956902387","https://openalex.org/W2962766617","https://openalex.org/W2963125010","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963857746","https://openalex.org/W2964444661","https://openalex.org/W2991391304","https://openalex.org/W2997747012","https://openalex.org/W3009396058","https://openalex.org/W3011900325","https://openalex.org/W3028147364","https://openalex.org/W3034971973","https://openalex.org/W3042788887","https://openalex.org/W3092462694","https://openalex.org/W3092739317","https://openalex.org/W3096166514","https://openalex.org/W3101720316","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3126951095","https://openalex.org/W3135934332","https://openalex.org/W3157386596","https://openalex.org/W3168844623","https://openalex.org/W3172087149","https://openalex.org/W3172752666","https://openalex.org/W3175630421","https://openalex.org/W3208154594","https://openalex.org/W4206706211","https://openalex.org/W4213351996","https://openalex.org/W4226043703","https://openalex.org/W4288325606","https://openalex.org/W4297775537","https://openalex.org/W4379382445","https://openalex.org/W6725739302","https://openalex.org/W6737664043","https://openalex.org/W6753412334","https://openalex.org/W6766183005","https://openalex.org/W6777822163","https://openalex.org/W6779617356","https://openalex.org/W6784094891","https://openalex.org/W6802878479","https://openalex.org/W6809816361"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380"],"abstract_inverted_index":{"Identifying":[0],"small":[1,23,77,100,135,154],"objects":[2,24],"is":[3,29,43,63,104,119,209],"essential":[4],"in":[5,47,106],"airport":[6],"clearances,":[7],"such":[8],"as":[9,187],"UAVs":[10],"and":[11,25],"bird":[12],"flocks":[13],"affecting":[14],"the":[15,18,44,48,76,80,90,110,134,141,153,170,174,180,197,203],"safety":[16],"of":[17],"entire":[19],"airport.":[20],"Due":[21],"to":[22,33,70,121,129,150,172],"complex":[26],"backgrounds,":[27],"it":[28,62],"a":[30,86,98,114],"formidable":[31],"task":[32],"learn":[34],"iconic":[35],"representations":[36],"from":[37],"images.":[38],"Convolution":[39],"neural":[40],"networks":[41],"(CNNs)":[42],"dominant":[45],"framework":[46],"past":[49],"few":[50],"years.":[51],"Although":[52],"CNNs":[53],"can":[54,190],"effectively":[55],"mitigate":[56],"local":[57],"redundancy":[58],"with":[59],"convolutional":[60,68,116,127],"kernels,":[61],"also":[64],"extremely":[65],"challenging":[66],"for":[67],"kernels":[69],"obtain":[71,122],"more":[72,131,177],"feature":[73,147],"information":[74,132],"about":[75,133],"object.":[78],"Alternatively,":[79],"prediction":[81],"box":[82,194],"loss":[83],"function":[84],"has":[85],"critical":[87],"influence":[88],"on":[89,196,206],"eventual":[91],"model":[92,171],"performance.":[93],"To":[94],"resolve":[95],"these":[96],"problems,":[97],"revolutionary":[99],"object":[101,123,155,175,200],"recognition":[102,201],"network":[103],"proposed":[105],"this":[107,185],"paper.":[108],"In":[109],"structure,":[111,117],"we":[112,139,158,183],"propose":[113,159],"hybrid":[115],"which":[118,168],"able":[120],"features":[124],"by":[125],"different":[126],"approaches":[128],"achieve":[130,192],"objects.":[136],"Following":[137],"that,":[138],"use":[140],"Double-One":[142],"Path":[143],"Aggregation":[144],"Network":[145],"(DO-PAN)":[146],"fusion":[148],"structure":[149,186],"further":[151],"integrate":[152],"information.":[156],"Finally,":[157],"all":[160],"sides":[161],"consistency":[162],"intersection":[163],"over":[164],"union":[165],"(AIoU)":[166],"loss,":[167],"enables":[169],"predict":[173],"location":[176],"exactly.":[178],"Combining":[179],"three":[181],"contributions,":[182],"designate":[184],"HDA-Net.":[188],"It":[189],"simply":[191],"96.1%":[193],"mAP50":[195],"UAV-VIT":[198],"dataset":[199],"task,":[202],"inference":[204],"speed":[205],"Tesla":[207],"T4":[208],"28.46":[210],"fps.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
