{"id":"https://openalex.org/W4408353014","doi":"https://doi.org/10.1109/icassp49660.2025.10888504","title":"YOLO-KED: A Novel Framework for Rotated Object Detection in Complex Environments","display_name":"YOLO-KED: A Novel Framework for Rotated Object Detection in Complex Environments","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353014","doi":"https://doi.org/10.1109/icassp49660.2025.10888504"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Zhaoyu Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyu Zhuang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028315045","display_name":"Penglei Liu","orcid":"https://orcid.org/0000-0001-7057-7620"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penglei Liu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084521327","display_name":"Dejia Xu","orcid":"https://orcid.org/0000-0001-8474-3095"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejia Xu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085029208","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0002-3483-747X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8866000175476074,"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":0.8866000175476074,"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":0.6787282228469849},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6047586798667908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5520886182785034},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4753382205963135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4560035467147827},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3477696180343628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.14765632152557373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787282228469849},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6047586798667908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5520886182785034},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4753382205963135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4560035467147827},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3477696180343628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.14765632152557373}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2991359031","https://openalex.org/W3034993937","https://openalex.org/W3097779785","https://openalex.org/W3131560642","https://openalex.org/W3136761610","https://openalex.org/W3174873843","https://openalex.org/W3175496347","https://openalex.org/W3177105943","https://openalex.org/W4207072548","https://openalex.org/W4250482878","https://openalex.org/W4306248542","https://openalex.org/W4318483458","https://openalex.org/W4386076325","https://openalex.org/W4390874500","https://openalex.org/W4392902640","https://openalex.org/W6867176674"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","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":{"Rotated":[0,74],"object":[1,108,139],"detection":[2,35,131,140],"aims":[3],"to":[4,27,43,78],"locate":[5],"and":[6,47,70,73,87,92,137],"classify":[7],"objects":[8,17],"with":[9,18],"arbitrary":[10],"orientations.":[11],"In":[12],"complex":[13,135],"backgrounds,":[14],"small":[15,138],"rotated":[16,107],"limited":[19],"salient":[20],"features":[21],"present":[22],"challenges":[23],"for":[24,106],"standard":[25],"backbones":[26],"extract":[28],"high-quality,":[29],"discriminative":[30],"features.":[31],"Additionally,":[32],"traditional":[33],"single-stage":[34],"heads":[36],"suffer":[37],"from":[38],"spatial":[39],"prediction":[40],"biases":[41],"due":[42],"misalignment":[44],"between":[45],"classification":[46,91],"localization":[48,93],"tasks.":[49,94,141],"To":[50],"tackle":[51],"these":[52],"challenges,":[53],"We":[54,95],"propose":[55],"a":[56,99],"novel":[57],"network":[58],"architecture,":[59],"YOLO-KED,":[60],"which":[61],"incorporates":[62],"the":[63,80,85,90],"KAGFusion":[64],"Module":[65,68],"(KAGFM),":[66],"EdgeFusion":[67],"(EFM),":[69],"Dynamic":[71],"Alignment":[72],"Detection":[75],"Head":[76],"(DARH)":[77],"enhance":[79],"feature":[81],"extraction":[82],"precision":[83],"of":[84,117],"backbone":[86],"dynamically":[88],"align":[89],"have":[96],"also":[97],"released":[98],"new":[100],"dataset,":[101],"termed":[102],"as":[103],"ICDM,":[104],"specifically":[105],"detection,":[109],"containing":[110],"3,214":[111],"images":[112],"across":[113,129],"11":[114],"common":[115],"categories":[116],"industrial":[118],"components.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"that":[123],"YOLOKED":[124],"outperforms":[125],"existing":[126],"state-of-the-art":[127],"methods":[128],"multiple":[130],"metrics,":[132],"especially":[133],"in":[134],"scenarios":[136],"ICDM":[142],"is":[143],"available":[144],"at":[145],"https://github.com/twodian/ICDM.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}