{"id":"https://openalex.org/W3186982203","doi":"https://doi.org/10.1109/tim.2021.3094837","title":"ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection","display_name":"ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186982203","doi":"https://doi.org/10.1109/tim.2021.3094837","mag":"3186982203"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3094837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3094837","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030207073","display_name":"Chenlin Zhou","orcid":"https://orcid.org/0000-0001-6510-1417"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlin Zhou","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6510-1417","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042097384","display_name":"Daheng Li","orcid":"https://orcid.org/0000-0002-6289-5423"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daheng Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6289-5423","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011130586","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8265-9866"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China","Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8265-9866","affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103067873","display_name":"Jia Sun","orcid":"https://orcid.org/0000-0002-0560-9099"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Sun","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0560-9099","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101649507","display_name":"Yikun Huang","orcid":"https://orcid.org/0000-0003-0705-6077"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0705-6077","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113720253","display_name":"Wanyi Li","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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyi Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7643-7132","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0581,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80948929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13579","display_name":"Image and Video Stabilization","score":0.9783999919891357,"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/joint","display_name":"Joint (building)","score":0.6767027378082275},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5912761688232422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754458904266357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5406723618507385},{"id":"https://openalex.org/keywords/soldering","display_name":"Soldering","score":0.5296297669410706},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5259307026863098},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5118493437767029},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49416258931159973},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.48199644684791565},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4255220293998718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3221418261528015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19867384433746338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14730235934257507},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11254358291625977},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.08810579776763916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07422971725463867}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6767027378082275},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5912761688232422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754458904266357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5406723618507385},{"id":"https://openalex.org/C50296614","wikidata":"https://www.wikidata.org/wiki/Q211387","display_name":"Soldering","level":2,"score":0.5296297669410706},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5259307026863098},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5118493437767029},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49416258931159973},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.48199644684791565},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4255220293998718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3221418261528015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19867384433746338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14730235934257507},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11254358291625977},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.08810579776763916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07422971725463867},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3094837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3094837","pdf_url":null,"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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G2121678844","display_name":null,"funder_award_id":"91748131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2577844026","display_name":"\u57fa\u4e8e\u70b9\u4e91\u6df1\u5ea6\u5b66\u4e60\u7684\u5149\u673a\u7ec4\u4ef6\u4e09\u7ef4\u4f4d\u59ff\u4f30\u8ba1\u4e0e\u8ddf\u8e2a","funder_award_id":"61771471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G471587438","display_name":null,"funder_award_id":"XDB32050100","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4988982107","display_name":null,"funder_award_id":"62006229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5066694405","display_name":null,"funder_award_id":"4204113","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2395611524","https://openalex.org/W2400138547","https://openalex.org/W2412782625","https://openalex.org/W2490223816","https://openalex.org/W2570343428","https://openalex.org/W2589306531","https://openalex.org/W2593539516","https://openalex.org/W2604243686","https://openalex.org/W2618530766","https://openalex.org/W2725486421","https://openalex.org/W2749372762","https://openalex.org/W2752782242","https://openalex.org/W2770383210","https://openalex.org/W2784050770","https://openalex.org/W2787091153","https://openalex.org/W2790214586","https://openalex.org/W2796347433","https://openalex.org/W2849899115","https://openalex.org/W2855340099","https://openalex.org/W2884585870","https://openalex.org/W2899594603","https://openalex.org/W2927822717","https://openalex.org/W2935837427","https://openalex.org/W2944303778","https://openalex.org/W2949708697","https://openalex.org/W2950800384","https://openalex.org/W2962721361","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963843116","https://openalex.org/W2964018263","https://openalex.org/W2964294787","https://openalex.org/W2964309882","https://openalex.org/W2964979676","https://openalex.org/W2968292493","https://openalex.org/W2982770724","https://openalex.org/W2985132266","https://openalex.org/W2986357608","https://openalex.org/W2989604896","https://openalex.org/W2991322429","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2997371611","https://openalex.org/W2997747012","https://openalex.org/W3009131247","https://openalex.org/W3012042051","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3034552520","https://openalex.org/W3035102456","https://openalex.org/W3042011474","https://openalex.org/W3102695566","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W3118883070","https://openalex.org/W3140922383","https://openalex.org/W3174873843","https://openalex.org/W4293584584","https://openalex.org/W4297617399","https://openalex.org/W4297810817","https://openalex.org/W6714138976","https://openalex.org/W6739844568","https://openalex.org/W6746383652","https://openalex.org/W6750227808","https://openalex.org/W6753033036","https://openalex.org/W6753038380","https://openalex.org/W6753412334","https://openalex.org/W6753494528","https://openalex.org/W6760424586","https://openalex.org/W6766860876","https://openalex.org/W6770689091","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6792569810"],"related_works":["https://openalex.org/W2367566533","https://openalex.org/W2187937315","https://openalex.org/W1983256527","https://openalex.org/W2297830036","https://openalex.org/W2113862045","https://openalex.org/W2384038313","https://openalex.org/W2378851622","https://openalex.org/W2349280512","https://openalex.org/W2358895457","https://openalex.org/W3197089899"],"abstract_inverted_index":{"Tubular":[0],"solder":[1,49,83,108,139,172],"joint":[2,50,173],"detection":[3,72],"is":[4,143],"an":[5,37],"important":[6,104],"and":[7,21,24,29,40,68,87,122,159,175,204],"challenging":[8],"issue":[9],"in":[10],"the":[11,15,100,112,130,135,181,199,202],"industry,":[12],"due":[13],"to":[14,102,133,179],"illegible":[16],"objects,":[17],"rarely":[18],"collected":[19],"datasets":[20],"requiring":[22],"high-precision":[23,86,203],"real-time":[25,88,205],"performance":[26],"for":[27,47,145],"positioning":[28],"angle":[30],"estimation.":[31],"In":[32],"this":[33],"article,":[34],"we":[35,168],"propose":[36],"Attention":[38],"integrated":[39],"Cross-spatial":[41],"feature":[42,57,64,115],"fused":[43],"Rotation":[44],"Network":[45],"(ACR-Net)":[46],"tubular":[48,82,107,138,171],"detection,":[51],"which":[52,96,154],"consists":[53],"of":[54,106,114,137,164,183,207],"a":[55,62,69,151,170],"new":[56],"extraction":[58],"network":[59,66,73,77,101],"named":[60],"ECA-CSPDarknet44,":[61],"cross-spatial":[63],"fusion":[65],"(CFFN),":[67],"bin-based":[70],"rotation":[71],"(BRDN).":[74],"The":[75],"proposed":[76,144,187],"can":[78,97,128],"efficiently":[79,158],"detect":[80],"oriented":[81,146],"joints":[84],"with":[85,91,161,192],"performance.":[89],"ECA-CSPDarknet44":[90],"attention":[92],"mechanism":[93],"was":[94],"presented,":[95],"adaptively":[98],"guide":[99],"learn":[103],"features":[105,121],"joints,":[109],"significantly":[110],"improving":[111],"ability":[113,132],"extraction.":[116],"By":[117],"integrating":[118],"multiscale":[119,123],"global":[120],"local":[124],"region":[125],"features,":[126],"CFFN":[127],"enhance":[129],"network's":[131],"express":[134],"characteristics":[136],"joints.":[140],"Meanwhile,":[141],"BRDN":[142],"bounding":[147],"box":[148],"regression":[149],"through":[150],"decoupling":[152],"approach,":[153],"regresses":[155],"target":[156],"parameters":[157],"accurately":[160],"little":[162],"increasing":[163],"model":[165],"complexity.":[166],"Finally,":[167],"establish":[169],"dataset":[174],"conduct":[176],"sufficient":[177],"experiments":[178],"verify":[180],"effectiveness":[182],"our":[184],"method.":[185],"Our":[186],"ACR-Net":[188],"achieves":[189],"98.8%":[190],"mAP":[191],"31.3":[193],"frames":[194],"per":[195],"second":[196],"(FPSs)":[197],"on":[198],"dataset,":[200],"meeting":[201],"requirements":[206],"industrial":[208],"systems.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}