{"id":"https://openalex.org/W4400948907","doi":"https://doi.org/10.1145/3672919.3673036","title":"ACBA: Object detection algorithm based on Adaptive Class Blurry Aware","display_name":"ACBA: Object detection algorithm based on Adaptive Class Blurry Aware","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400948907","doi":"https://doi.org/10.1145/3672919.3673036"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3673036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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/A5028173524","display_name":"Yuling Chen","orcid":"https://orcid.org/0000-0003-0628-1651"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuling Chen","raw_affiliation_strings":["Mianyang Teachers' College, China and \rSouthwest University of Science and Technology, China","Mianyang Teachers' College, China and Southwest University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0628-1651","affiliations":[{"raw_affiliation_string":"Mianyang Teachers' College, China and \rSouthwest University of Science and Technology, China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"Mianyang Teachers' College, China and Southwest University of Science and Technology, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090454892","display_name":"Zhenxiang He","orcid":"https://orcid.org/0009-0007-6458-6820"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxiang He","raw_affiliation_strings":["Tianfu College of Southwest University of Finance and Economics, China"],"raw_orcid":"https://orcid.org/0009-0007-6458-6820","affiliations":[{"raw_affiliation_string":"Tianfu College of Southwest University of Finance and Economics, China","institution_ids":["https://openalex.org/I204831749","https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinwei Chen","orcid":"https://orcid.org/0009-0007-3432-6219"},"institutions":[{"id":"https://openalex.org/I3130456415","display_name":"Mianyang Normal University","ror":"https://ror.org/02rka3n91","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130456415"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Chen","raw_affiliation_strings":["Mianyang Teachers' College, China"],"raw_orcid":"https://orcid.org/0009-0007-3432-6219","affiliations":[{"raw_affiliation_string":"Mianyang Teachers' College, China","institution_ids":["https://openalex.org/I3130456415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060510406","display_name":"Bin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Southwest University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-9416-0307","affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology, China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028173524"],"corresponding_institution_ids":["https://openalex.org/I1297991670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10218506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"659","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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":0.9972000122070312,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9958000183105469,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242352962493896},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6226282715797424},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5165478587150574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4752756655216217},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4672641158103943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46343475580215454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3780982196331024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2825409770011902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242352962493896},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6226282715797424},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5165478587150574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4752756655216217},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4672641158103943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46343475580215454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3780982196331024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2825409770011902}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3673036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2504335775","https://openalex.org/W2884561390","https://openalex.org/W2950628590","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2991015021","https://openalex.org/W2997747012","https://openalex.org/W3018757597","https://openalex.org/W3122173535","https://openalex.org/W3210938789","https://openalex.org/W4403219959","https://openalex.org/W6730903564","https://openalex.org/W6742348326","https://openalex.org/W6750227808","https://openalex.org/W6798838024","https://openalex.org/W6948074861"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Objective":[0],"The":[1,94,241,319],"existing":[2,346],"confidence":[3,13,24,113,128,141,189,293,335,347],"information":[4,129,142,336],"of":[5,34,56,60,69,84,90,103,107,143,163,188,195,202,224,250,305,337,345,355],"guide":[6],"sample":[7,25,62,109],"regression":[8,156,161,181],"mostly":[9],"comes":[10],"from":[11,65],"low":[12,127,334],"samples":[14,89],"with":[15,211,215,254,276,327],"fuzzy":[16,340],"class":[17,105,131,196,287,316,338],"attributes,":[18],"which":[19,268],"relatively":[20],"floods":[21],"the":[22,32,58,66,72,76,81,85,91,96,99,101,104,108,112,140,153,168,186,193,200,203,206,216,222,225,246,255,259,285,291,298,302,306,309,315,333,343,352,356],"high":[23],"information,":[26,190,348],"and":[27,71,87,123,134,145,155,171,191,227,238,265,272,290,300,314,349],"is":[28,63,209,262,269],"not":[29],"conducive":[30],"to":[31,79,138,150,152],"improvement":[33],"model":[35,208,321],"accuracy.":[36],"To":[37,220],"this":[38,40],"end,":[39],"paper":[41,283],"proposes":[42],"an":[43],"object":[44],"detection":[45,165,353,358],"algorithm":[46,207,226,320],"based":[47,119,233],"on":[48,120,234],"Adaptive":[49],"Class":[50],"Blurry":[51],"Aware":[52],"(ACBA)":[53],"method.":[54],"First":[55],"all,":[57],"IoU":[59],"each":[61,277],"reduced":[64],"median":[67],"value":[68,74,97],"0.5,":[70],"absolute":[73],"defines":[75,284],"ACBA":[77,115,124,176,212,228,251,295,324],"value,":[78,125,177],"perceive":[80],"attribute":[82,106,132,197,288,317,339],"ambiguity":[83,102,198,289],"positive":[86,144],"negative":[88,146],"target":[92,357],"class.":[93],"smaller":[95],"is,":[98],"higher":[100,274],"is.":[110],"Second,":[111],"loss":[114,122,187,294],"Loss":[116,213,252,296,325],"was":[117],"constructed":[118],"cross-entropy":[121],"suppressing":[126],"through":[130,167],"ambiguity,":[133],"designing":[135],"focusing":[136],"parameters":[137],"balance":[139,192,312],"samples.":[147],"In":[148],"addition,":[149],"adapt":[151],"classification":[154],"double":[157],"branch":[158,162],"or":[159],"single":[160,180],"different":[164],"tasks,":[166],"penalty":[169,307],"factor":[170,173,311],"constraint":[172,310],"design":[174,230],"improved":[175],"in":[178,199,258],"a":[179],"task":[182],"can":[183],"compensate":[184],"for":[185,297],"contribution":[194,303],"proportion":[201],"loss.":[204],"Finally,":[205],"built":[210,322],"combined":[214,253,326],"basic":[217,278],"framework.":[218],"Results":[219],"verify":[221],"effectiveness":[223],"Loss,":[229],"comparison":[231],"experiments":[232],"YOLO":[235],"V4,":[236],"RetinaNet,":[237],"Faster":[239],"RCNN.":[240],"experimental":[242],"results":[243],"show":[244],"that":[245],"mAP":[247],"@":[248],"50":[249],"three":[256],"frameworks":[257,330],"VOC2007":[260],"dataset":[261],"87.66%,":[263],"84.00%,":[264],"75.47%,":[266],"respectively,":[267],"1.77%,":[270,271],"1.18%":[273],"compared":[275],"network":[279,329],"model.":[280,359],"Conclusion":[281],"This":[282],"adaptive":[286],"construction":[292],"sample,":[299],"designs":[301],"ratio":[304],"factor,":[308],"loss,":[313],"ambiguity.":[318],"by":[323],"various":[328],"effectively":[331],"suppresses":[332],"samples,":[341],"alleviates":[342],"problem":[344],"thus":[350],"improves":[351],"accuracy":[354]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
