{"id":"https://openalex.org/W4406052300","doi":"https://doi.org/10.1007/s11554-024-01613-7","title":"RTDETR-Refa: a real-time detection method for multi-breed classification of cattle","display_name":"RTDETR-Refa: a real-time detection method for multi-breed classification of cattle","publication_year":2025,"publication_date":"2025-01-04","ids":{"openalex":"https://openalex.org/W4406052300","doi":"https://doi.org/10.1007/s11554-024-01613-7"},"language":"en","primary_location":{"id":"doi:10.1007/s11554-024-01613-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01613-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01613-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01613-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102234822","display_name":"Bingxuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]},{"id":"https://openalex.org/I4210105888","display_name":"Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences","ror":"https://ror.org/019kfw312","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210105888"]},{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxuan Li","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, Inner Mongolia, China","Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I55654194"]},{"raw_affiliation_string":"Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I4210105888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085039567","display_name":"Jiandong Fang","orcid":"https://orcid.org/0000-0002-2920-9276"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]},{"id":"https://openalex.org/I4210105888","display_name":"Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences","ror":"https://ror.org/019kfw312","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210105888"]},{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiandong Fang","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, Inner Mongolia, China","Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I55654194"]},{"raw_affiliation_string":"Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I4210105888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113278187","display_name":"Yvdong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105888","display_name":"Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences","ror":"https://ror.org/019kfw312","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210105888"]},{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yvdong Zhao","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I55654194"]},{"raw_affiliation_string":"Inner Mongolia Synergy Innovation Center of Perception Technology in Intelligent Agriculture and Animal Husbandry, Hohhot, 010080, Inner Mongolia, China","institution_ids":["https://openalex.org/I4210105888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085039567"],"corresponding_institution_ids":["https://openalex.org/I2722730","https://openalex.org/I4210105888","https://openalex.org/I55654194"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.8446,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89223462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/breed","display_name":"Breed","score":0.6783833503723145},{"id":"https://openalex.org/keywords/animal-science","display_name":"Animal science","score":0.4033465087413788},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3425174057483673},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33480650186538696}],"concepts":[{"id":"https://openalex.org/C2776482104","wikidata":"https://www.wikidata.org/wiki/Q38829","display_name":"Breed","level":2,"score":0.6783833503723145},{"id":"https://openalex.org/C140793950","wikidata":"https://www.wikidata.org/wiki/Q168091","display_name":"Animal science","level":1,"score":0.4033465087413788},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3425174057483673},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33480650186538696}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11554-024-01613-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01613-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01613-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11554-024-01613-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01613-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01613-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406052300.pdf","grobid_xml":"https://content.openalex.org/works/W4406052300.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2975300127","https://openalex.org/W3113757710","https://openalex.org/W3116271762","https://openalex.org/W3159754670","https://openalex.org/W3167046622","https://openalex.org/W3167976421","https://openalex.org/W3197085527","https://openalex.org/W3202434355","https://openalex.org/W3215464803","https://openalex.org/W4224017913","https://openalex.org/W4285207597","https://openalex.org/W4309460101","https://openalex.org/W4312463054","https://openalex.org/W4327920773","https://openalex.org/W4362564581","https://openalex.org/W4372347372","https://openalex.org/W4385219712","https://openalex.org/W4386047745","https://openalex.org/W4386859827","https://openalex.org/W4387247714","https://openalex.org/W4388304877","https://openalex.org/W4388694483","https://openalex.org/W4388971410","https://openalex.org/W4392248687","https://openalex.org/W4392939949","https://openalex.org/W4392944361","https://openalex.org/W4402754006"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2082860237","https://openalex.org/W2119695867","https://openalex.org/W2130076355","https://openalex.org/W1990804418","https://openalex.org/W1993764875","https://openalex.org/W2046158694","https://openalex.org/W2788277189","https://openalex.org/W2013243191","https://openalex.org/W1971568933"],"abstract_inverted_index":{"In":[0,35],"the":[1,64,68,75,81,86,88,94,106,110,115,121,129,134,143,150,159,163,168,178,189,192,199,203,212,223,238,262],"farming":[2],"industry,":[3],"to":[4,18,32,63,73,127,157,187,247],"cope":[5],"with":[6,109,183],"problems":[7],"such":[8],"as":[9],"complex":[10],"pasture":[11],"environments":[12],"and":[13,23,27,56,79,119,132,226,249,271],"dense":[14],"targets,":[15],"which":[16,113,218,260],"lead":[17],"increased":[19],"difficulty":[20],"in":[21,93,125,167,242,268],"recognising":[22],"thus":[24],"quickly":[25],"classifying":[26],"automatically":[28],"identifying":[29],"cattle":[30,53,254],"breeds":[31,252],"improve":[33,74],"accuracy.":[34],"this":[36,243],"paper,":[37],"an":[38],"RTDETR-Refa":[39,179,193,200,209,239],"(RepConv":[40],"Efficient":[41,135],"Faster":[42],"Attention)":[43],"algorithm":[44,116,180,201,210],"based":[45],"on":[46,202,211],"ResNet18":[47,65],"backbone":[48,66,169],"network":[49,78,170],"is":[50,71,97,140,155,216,219,245],"proposed":[51,241],"for":[52],"breed":[54,269],"classification":[55,213],"identification.":[57],"First,":[58],"new":[59],"improvements":[60],"are":[61,181],"made":[62],"network:":[67],"Faster-Block":[69,95,144,153],"module":[70,96,139,145,154],"introduced":[72],"feature":[76,130],"extraction":[77],"increase":[80],"computational":[82],"speed":[83],"without":[84],"sacrificing":[85],"accuracy;":[87],"1":[89,91],"$$\\times$$":[90,102],"convolution":[92,104],"replaced":[98],"by":[99],"a":[100],"3":[101,103,164],"using":[105],"RepConv":[107],"reparameterised":[108],"RepVGG":[111],"block,":[112],"makes":[114],"more":[117],"lightweight":[118],"improves":[120],"inference":[122],"speed.":[123],"Second,":[124],"order":[126],"enhance":[128],"transformation":[131],"classification,":[133],"Multiscale":[136],"Attention":[137],"(EMA)":[138],"added":[141],"after":[142,162],"at":[146],"different":[147,251],"stages.":[148],"Finally,":[149],"above":[151],"improved":[152],"used":[156],"replace":[158],"4-layer":[160],"BasicBlock":[161],"convolutional":[165,265],"layers":[166],"of":[171,177,191,198,208,253,264],"ResNet18.":[172],"The":[173,195,205,233],"training":[174,214],"test":[175],"results":[176,235],"compared":[182],"other":[184,230],"classical":[185,231],"models":[186],"validate":[188],"superiority":[190],"algorithm.":[194],"average":[196,206],"accuracy":[197,207],"bovine":[204],"set":[215],"91.6%,":[217],"0.8%":[220],"higher":[221,228],"than":[222,229],"original":[224],"model":[225,240],"0.9\u20135.2%":[227],"models.":[232],"experimental":[234],"show":[236],"that":[237],"paper":[244],"able":[246],"identify":[248],"classify":[250],"while":[255],"guaranteeing":[256],"similar":[257],"detection":[258],"speed,":[259],"proves":[261],"feasibility":[263],"neural":[266],"networks":[267],"identification":[270],"classification.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}