{"id":"https://openalex.org/W4380996124","doi":"https://doi.org/10.1007/s00521-023-08741-4","title":"Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm","display_name":"Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm","publication_year":2023,"publication_date":"2023-06-15","ids":{"openalex":"https://openalex.org/W4380996124","doi":"https://doi.org/10.1007/s00521-023-08741-4"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-023-08741-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08741-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08741-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/s00521-023-08741-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003044969","display_name":"Iv\u00e1n Garc\u00eda\u2010Aguilar","orcid":"https://orcid.org/0000-0001-5476-6704"},"institutions":[{"id":"https://openalex.org/I4210164724","display_name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga","ror":"https://ror.org/05n3asa33","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210164724"]},{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Iv\u00e1n Garc\u00eda-Aguilar","raw_affiliation_strings":["Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5476-6704","affiliations":[{"raw_affiliation_string":"Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I4210164724"]},{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103258775","display_name":"Jorge Garc\u00eda-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-8610-3462"},"institutions":[{"id":"https://openalex.org/I4210164724","display_name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga","ror":"https://ror.org/05n3asa33","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210164724"]},{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Garc\u00eda-Gonz\u00e1lez","raw_affiliation_strings":["Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I4210164724"]},{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087244161","display_name":"Rafael Marcos Luque\u2010Baena","orcid":"https://orcid.org/0000-0001-5536-1805"},"institutions":[{"id":"https://openalex.org/I4210164724","display_name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga","ror":"https://ror.org/05n3asa33","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210164724"]},{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Marcos Luque-Baena","raw_affiliation_strings":["Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I4210164724"]},{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091243468","display_name":"Ezequiel L\u00f3pez\u2010Rubio","orcid":"https://orcid.org/0000-0001-8231-5687"},"institutions":[{"id":"https://openalex.org/I4210164724","display_name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga","ror":"https://ror.org/05n3asa33","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210164724"]},{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ezequiel L\u00f3pez-Rubio","raw_affiliation_strings":["Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Institute of M\u00e1laga (IBIMA), C/ Doctor Miguel D\u00edaz Recio, 28, 29010, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I4210164724"]},{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, Bulevar Louis Pasteur, 35, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003044969"],"corresponding_institution_ids":["https://openalex.org/I4210164724","https://openalex.org/I82767444"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.6834,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65770509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"35","issue":"26","first_page":"18999","last_page":"19013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.7071325778961182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371443271636963},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6339723467826843},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.589331865310669},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.5814539194107056},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.572761058807373},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.553745448589325},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5190954208374023},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5078395009040833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49213355779647827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4856089651584625},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45050597190856934},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4332291781902313},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42996877431869507},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4190077483654022},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4176395535469055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34615612030029297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22159403562545776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11299163103103638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071325778961182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371443271636963},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6339723467826843},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.589331865310669},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.5814539194107056},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.572761058807373},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.553745448589325},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5190954208374023},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5078395009040833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49213355779647827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4856089651584625},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45050597190856934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4332291781902313},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42996877431869507},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4190077483654022},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4176395535469055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34615612030029297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22159403562545776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11299163103103638},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-023-08741-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08741-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08741-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:riuma.uma.es:10630/27075","is_oa":true,"landing_page_url":"https://hdl.handle.net/10630/27075","pdf_url":"https://riuma.uma.es/xmlui/bitstream/10630/27075/1/s00521-023-08741-4.pdf","source":{"id":"https://openalex.org/S4306401385","display_name":"Repositorio Institucional de la Universidad de M\u00e1laga (University of M\u00e1laga)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82767444","host_organization_name":"Universidad de M\u00e1laga","host_organization_lineage":["https://openalex.org/I82767444"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s00521-023-08741-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08741-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08741-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1000914715","display_name":null,"funder_award_id":"B1-2022_14","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"},{"id":"https://openalex.org/G2941445633","display_name":null,"funder_award_id":"B1-2019_01","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"},{"id":"https://openalex.org/G4995587108","display_name":null,"funder_award_id":"UMA20-FEDERJA-108","funder_id":"https://openalex.org/F4320332805","funder_display_name":"Smithsonian Conservation Biology Institute"},{"id":"https://openalex.org/G6343813651","display_name":null,"funder_award_id":"UMA20-FEDERJA-108","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"},{"id":"https://openalex.org/G6496325548","display_name":null,"funder_award_id":"A6000","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G6556794502","display_name":null,"funder_award_id":"B1-2021_20","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"},{"id":"https://openalex.org/G705427103","display_name":null,"funder_award_id":"B4-2022","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"},{"id":"https://openalex.org/G745716326","display_name":null,"funder_award_id":"RTX A6000","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G7797295463","display_name":null,"funder_award_id":"B1-2019_02","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"},{"id":"https://openalex.org/G8129676453","display_name":null,"funder_award_id":"SNGJ5Y6-15","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320311265","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28"},{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"},{"id":"https://openalex.org/F4320332805","display_name":"Smithsonian Conservation Biology Institute","ror":"https://ror.org/04hnzva96"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380996124.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2066911471","https://openalex.org/W2108598243","https://openalex.org/W2153878074","https://openalex.org/W2193145675","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2970987838","https://openalex.org/W3011688396","https://openalex.org/W3027459681","https://openalex.org/W3034971973","https://openalex.org/W3083588900","https://openalex.org/W3106250896","https://openalex.org/W3157386596","https://openalex.org/W3159927018","https://openalex.org/W3164334838","https://openalex.org/W3205100603","https://openalex.org/W3207216767","https://openalex.org/W3210586215","https://openalex.org/W4200226904","https://openalex.org/W4304892696","https://openalex.org/W4312720137","https://openalex.org/W4313537271"],"related_works":["https://openalex.org/W2337415362","https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2801801420","https://openalex.org/W4312857205","https://openalex.org/W2007544051","https://openalex.org/W2732308154","https://openalex.org/W1988485990","https://openalex.org/W3177406559","https://openalex.org/W2334336442"],"abstract_inverted_index":{"Abstract":[0],"Detection":[1],"of":[2,7,23,52,56,70,85,117,119,135,171,199,203,220],"small":[3,21],"objects":[4],"is":[5,74,77,100,137,159,176,207],"one":[6],"the":[8,20,50,60,71,82,86,115,120,128,140,150,153,169,181,196,216,226,230,240],"main":[9,68],"challenges":[10],"to":[11,19,29,80,106,173,205,223],"be":[12,174],"improved":[13],"in":[14,32,139],"deep":[15,44],"learning,":[16],"mainly":[17],"due":[18],"number":[22,55,116,170],"pixels":[24,118],"and":[25,58,122,242],"scene\u2019s":[26],"context,":[27],"leading":[28],"a":[30,53,95,145],"loss":[31],"performance.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"present":[38],"an":[39,211],"optimized":[40],"approach":[41],"based":[42,101],"on":[43,102,165,190],"object":[45,155],"detection":[46,51,182,213],"models":[47],"that":[48,75,148],"allow":[49],"higher":[54],"elements":[57],"improve":[59],"score":[61],"obtained":[62,194],"for":[63,94,215,229],"their":[64],"class":[65],"inference.":[66],"The":[67],"advantage":[69],"presented":[72,228],"methodology":[73,227],"it":[76],"not":[78],"necessary":[79],"modify":[81],"internal":[83],"structure":[84],"selected":[87],"convolutional":[88],"neural":[89],"network":[90],"model":[91,219],"or":[92],"re-training":[93],"specific":[96],"scene.":[97],"Our":[98],"proposal":[99],"detecting":[103],"initial":[104],"regions":[105],"generate":[107],"several":[108],"sub-images":[109],"using":[110,127,225],"super-resolution":[111],"(SR)":[112],"techniques,":[113],"increasing":[114],"elements,":[121],"re-infer":[123],"over":[124,239],"these":[125],"areas":[126],"same":[129],"pre-trained":[130],"model.":[131],"A":[132],"reduced":[133],"set":[134],"windows":[136,172],"calculated":[138],"super-resolved":[141],"image":[142],"by":[143,161],"analyzing":[144],"computed":[146],"graph":[147],"describes":[149],"distances":[151],"among":[152],"preliminary":[154],"detections.":[156],"This":[157,167,184],"analysis":[158],"done":[160],"finding":[162],"maximal":[163],"cliques":[164],"it.":[166],"way,":[168],"examined":[175],"diminished,":[177],"significantly":[178],"speeding":[179],"up":[180,204],"process.":[183],"framework":[185],"has":[186],"been":[187,237],"successfully":[188],"tested":[189],"real":[191],"traffic":[192],"sequences":[193],"from":[195,210],"U.S.":[197],"Department":[198],"Transportation.":[200],"An":[201],"increase":[202],"44.6%":[206],"achieved,":[208],"going":[209],"average":[212],"rate":[214],"EfficientDet":[217],"D4":[218],"14.5%":[221],"compared":[222],"59.1%":[224],"first":[231],"sequence.":[232],"Qualitative":[233],"experiments":[234],"have":[235],"also":[236],"performed":[238],"Cityscapes":[241],"VisDrone":[243],"datasets.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}