{"id":"https://openalex.org/W4399458766","doi":"https://doi.org/10.1145/3655755.3655766","title":"YOLO-HAMFF: A UAV detection model based on the hybrid attention and multi-level feature fusion for the YOLOv8 model","display_name":"YOLO-HAMFF: A UAV detection model based on the hybrid attention and multi-level feature fusion for the YOLOv8 model","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4399458766","doi":"https://doi.org/10.1145/3655755.3655766"},"language":"en","primary_location":{"id":"doi:10.1145/3655755.3655766","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655755.3655766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Image Video and Signal Processing","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/A5101632405","display_name":"Yue Zhou","orcid":"https://orcid.org/0000-0003-4859-8016"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Zhou","raw_affiliation_strings":["Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021078987","display_name":"Yutong Jiang","orcid":"https://orcid.org/0000-0003-2538-9422"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Jiang","raw_affiliation_strings":["Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103012638","display_name":"Zhonglin Yang","orcid":"https://orcid.org/0009-0001-9606-1363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhonglin Yang","raw_affiliation_strings":["China North Vehicle Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China North Vehicle Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099059023","display_name":"Yang Yang","orcid":"https://orcid.org/0009-0002-8062-1095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["China North Vehicle Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China North Vehicle Research Institute, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103285774","display_name":"Ying Wang","orcid":"https://orcid.org/0009-0006-7487-2436"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Chinese Scholartree Ridge State Key Laboratory, China North Vehicle Research Institute, China","institution_ids":["https://openalex.org/I4210145005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101632405"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":null,"apc_paid":null,"fwci":0.7548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77519133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/computer-science","display_name":"Computer science","score":0.7927537560462952},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6299391388893127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217225790023804},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.553370475769043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5455607175827026},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.538609504699707},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5125758051872253},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4894160330295563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45241519808769226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4517851769924164},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.451068639755249},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4440980851650238},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4365254044532776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2751519978046417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11591193079948425},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0843166708946228},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07640168070793152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927537560462952},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6299391388893127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217225790023804},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.553370475769043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5455607175827026},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.538609504699707},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5125758051872253},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4894160330295563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45241519808769226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4517851769924164},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.451068639755249},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4440980851650238},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4365254044532776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2751519978046417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11591193079948425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0843166708946228},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07640168070793152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3655755.3655766","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655755.3655766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Image Video and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W2193145675","https://openalex.org/W3016641475","https://openalex.org/W3106250896","https://openalex.org/W3127753524","https://openalex.org/W3135759753","https://openalex.org/W3153464316","https://openalex.org/W3192438490","https://openalex.org/W3214938658","https://openalex.org/W4210598935","https://openalex.org/W4213147678","https://openalex.org/W4223962571","https://openalex.org/W4292182211","https://openalex.org/W4307705289","https://openalex.org/W4376459766","https://openalex.org/W4386963036","https://openalex.org/W6730903564","https://openalex.org/W6803497561"],"related_works":["https://openalex.org/W4400597516","https://openalex.org/W4396860960","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":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"have":[4],"become":[5],"increasingly":[6],"prevalent":[7],"in":[8,35,164],"various":[9],"applications,":[10],"ranging":[11],"from":[12],"surveillance":[13],"and":[14,21,33,38,56,102,105],"monitoring":[15],"to":[16,71,97,109,134],"infrastructure":[17],"inspection.":[18],"The":[19],"accurate":[20],"efficient":[22],"detection":[23,69,74,128,132,160,167],"of":[24,49,141],"UAVs":[25,43],"is":[26,44,162],"a":[27,45,67,88,121],"critical":[28],"task":[29,47],"for":[30,138,145],"ensuring":[31],"security":[32],"safety":[34],"both":[36],"civilian":[37],"military":[39],"domains.":[40],"However,":[41],"detecting":[42],"challenging":[46],"because":[48],"the":[50,78,99,103,126,131,154,158],"small":[51],"target":[52],"size,":[53],"rapid":[54],"speed,":[55],"complex":[57,115],"image":[58,116,142],"backgrounds.":[59,117],"To":[60],"solve":[61],"these":[62],"problems,":[63],"this":[64],"paper":[65],"presents":[66],"novel":[68],"method":[70,161],"improve":[72,110],"UAV":[73,166],"performance":[75],"based":[76],"on":[77],"You":[79],"Only":[80],"Look":[81],"Once":[82],"(YOLO)":[83],"framework.":[84],"Firstly,":[85],"we":[86,119],"propose":[87],"hybrid":[89,94],"attention":[90,107],"mechanism,":[91],"which":[92],"uses":[93],"dilated":[95],"convolution":[96],"recover":[98],"respective":[100],"field":[101],"spatial":[104],"channel":[106],"mechanisms":[108],"feature":[111],"capture":[112],"ability":[113],"under":[114],"Additionally,":[118],"introduce":[120],"multi-level":[122],"fusion":[123],"model":[124],"into":[125],"YOLO":[127],"framework,":[129],"augmenting":[130],"neck":[133],"express":[135],"multi-scale":[136],"features":[137],"precise":[139],"recovery":[140],"details,":[143],"particularly":[144],"small-size":[146],"UAVs.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"compared":[152],"with":[153],"state-of-the-art":[155],"YOLOv8":[156],"model,":[157],"proposed":[159],"effective":[163],"improving":[165],"performances.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}