{"id":"https://openalex.org/W4389490074","doi":"https://doi.org/10.1145/3632314.3632349","title":"Research on Small Target Detection Technology for River Floating Garbage Based on Improved YOLOv7","display_name":"Research on Small Target Detection Technology for River Floating Garbage Based on Improved YOLOv7","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389490074","doi":"https://doi.org/10.1145/3632314.3632349"},"language":"en","primary_location":{"id":"doi:10.1145/3632314.3632349","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632314.3632349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632314.3632349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Sensing and Industrial Automation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3632314.3632349","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101699425","display_name":"Dexin Li","orcid":"https://orcid.org/0009-0001-2649-1042"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexin Li","raw_affiliation_strings":["PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-2649-1042","affiliations":[{"raw_affiliation_string":"PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108884459","display_name":"Hao Liu","orcid":"https://orcid.org/0009-0003-6952-1541"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-6952-1541","affiliations":[{"raw_affiliation_string":"PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073429802","display_name":"Yingying Yang","orcid":"https://orcid.org/0000-0001-8406-7808"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Yang","raw_affiliation_strings":["PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8406-7808","affiliations":[{"raw_affiliation_string":"PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078390780","display_name":"Z.F. Fan","orcid":"https://orcid.org/0009-0008-1378-4824"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixuan Fan","raw_affiliation_strings":["PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China"],"raw_orcid":"https://orcid.org/0009-0008-1378-4824","affiliations":[{"raw_affiliation_string":"PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012678427","display_name":"Biquan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biquan Wu","raw_affiliation_strings":["PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-4593-0156","affiliations":[{"raw_affiliation_string":"PowerChina Zhongnan Engineering Corporation Limited, China and \rHunan Province Key Laboratory of Hydropower Development Key Technology, China","institution_ids":["https://openalex.org/I4210120238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210120238"],"apc_list":null,"apc_paid":null,"fwci":0.4846,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7352483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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":0.9970999956130981,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9581999778747559,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9409999847412109,"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/garbage","display_name":"Garbage","score":0.881294846534729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7330584526062012},{"id":"https://openalex.org/keywords/mist","display_name":"Mist","score":0.6380676627159119},{"id":"https://openalex.org/keywords/garbage-collection","display_name":"Garbage collection","score":0.5627968311309814},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5452204346656799},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.521946370601654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4845525324344635},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4541643261909485},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4332635998725891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3489971458911896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24317002296447754},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11357277631759644},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.0725027322769165},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06938472390174866}],"concepts":[{"id":"https://openalex.org/C75403996","wikidata":"https://www.wikidata.org/wiki/Q5521979","display_name":"Garbage","level":2,"score":0.881294846534729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330584526062012},{"id":"https://openalex.org/C6831451","wikidata":"https://www.wikidata.org/wiki/Q192196","display_name":"Mist","level":2,"score":0.6380676627159119},{"id":"https://openalex.org/C105122174","wikidata":"https://www.wikidata.org/wiki/Q322202","display_name":"Garbage collection","level":3,"score":0.5627968311309814},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5452204346656799},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.521946370601654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4845525324344635},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4541643261909485},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4332635998725891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3489971458911896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24317002296447754},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11357277631759644},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0725027322769165},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06938472390174866},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632314.3632349","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632314.3632349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632314.3632349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Sensing and Industrial Automation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3632314.3632349","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632314.3632349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632314.3632349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Sensing and Industrial Automation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389490074.pdf","grobid_xml":"https://content.openalex.org/works/W4389490074.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2806070179"],"related_works":["https://openalex.org/W2132258996","https://openalex.org/W2245694847","https://openalex.org/W4387773637","https://openalex.org/W4381304378","https://openalex.org/W2188602196","https://openalex.org/W3174776489","https://openalex.org/W1700460898","https://openalex.org/W4297378365","https://openalex.org/W2808342711","https://openalex.org/W3127149756"],"abstract_inverted_index":{"Traditional":[0],"manual":[1],"inspection":[2],"of":[3,39,70,97,128,145,159,167],"floating":[4,40,71,168],"garbage":[5,41,61,72,169],"in":[6,42,73,95,130,170],"artificial":[7],"river":[8,31,46,171],"channels":[9,47],"is":[10],"time-consuming":[11],"and":[12,18,63,76,82,119,149,154,157],"labor-intensive.":[13],"Unmanned":[14],"aerial":[15,53],"vehicles":[16],"(UAVs)":[17],"unmanned":[19],"boats":[20],"based":[21,50],"on":[22,51],"computer":[23],"vision":[24],"have":[25],"become":[26],"the":[27,43,66,77,90,104,109,143,165],"main":[28],"methods":[29,57,148],"for":[30,60,116,135,164],"channel":[32],"inspection.":[33],"In":[34],"this":[35],"paper,":[36],"a":[37],"dataset":[38],"study":[44,139],"area's":[45],"was":[48],"constructed":[49],"UAV":[52,74,150],"images.":[54],"Deep":[55],"learning":[56,147],"were":[58,87],"employed":[59],"classification":[62,158],"recognition.":[64],"Considering":[65],"relatively":[67],"small":[68,117],"proportion":[69],"images":[75],"susceptibility":[78],"to":[79,89,108],"water":[80,122],"mist":[81,123],"vapor":[83],"interference,":[84,124],"targeted":[85],"improvements":[86],"made":[88],"YOLOv7":[91],"object":[92],"detection":[93,114],"algorithm":[94],"terms":[96],"multi-scale":[98],"detection.":[99],"Experimental":[100],"results":[101,140],"verified":[102],"that":[103,142],"improved":[105],"algorithm,":[106,111],"compared":[107],"original":[110],"achieved":[112],"higher":[113],"accuracy":[115],"targets":[118],"effectively":[120],"mitigated":[121],"with":[125],"an":[126],"increase":[127],"2.24%":[129],"mean":[131],"average":[132],"precision":[133],"(mAP)":[134],"class-balanced":[136],"accuracy.":[137],"The":[138],"demonstrate":[141],"integration":[144],"deep":[146],"technology":[151],"enables":[152],"efficient":[153],"accurate":[155],"identification":[156],"garbage,":[160],"providing":[161],"decision-making":[162],"support":[163],"management":[166],"channels.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
