{"id":"https://openalex.org/W4398236712","doi":"https://doi.org/10.3390/s24113335","title":"Compatibility Review for Object Detection Enhancement through Super-Resolution","display_name":"Compatibility Review for Object Detection Enhancement through Super-Resolution","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4398236712","doi":"https://doi.org/10.3390/s24113335","pmid":"https://pubmed.ncbi.nlm.nih.gov/38894125"},"language":"en","primary_location":{"id":"doi:10.3390/s24113335","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113335","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3335/pdf?version=1716463632","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/11/3335/pdf?version=1716463632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100383807","display_name":"Daehee Kim","orcid":"https://orcid.org/0000-0001-9676-9604"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daehee Kim","raw_affiliation_strings":["College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea","NAVER Cloud Corp., Seongnam 13529, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"NAVER Cloud Corp., Seongnam 13529, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103134099","display_name":"Sungmin Lee","orcid":"https://orcid.org/0000-0003-1567-6591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungmin Lee","raw_affiliation_strings":["SK Telecom, Seoul 04539, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"SK Telecom, Seoul 04539, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108934768","display_name":"Junghyeon Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junghyeon Seo","raw_affiliation_strings":["College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069641777","display_name":"Song Noh","orcid":"https://orcid.org/0000-0002-0106-7106"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Song Noh","raw_affiliation_strings":["Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Republic of Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011313652","display_name":"Jaekoo Lee","orcid":"https://orcid.org/0000-0002-5947-5487"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaekoo Lee","raw_affiliation_strings":["College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011313652","https://openalex.org/A5069641777"],"corresponding_institution_ids":["https://openalex.org/I110273157","https://openalex.org/I146429904"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71195287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"11","first_page":"3335","last_page":"3335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9976999759674072,"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":0.7337420582771301},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.6722066402435303},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5529702305793762},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4965277314186096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4798819124698639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4670870006084442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4262763559818268},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4259202480316162},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.41549211740493774},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3712056577205658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3592144250869751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2811709940433502},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2283019721508026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10441777110099792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337420582771301},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.6722066402435303},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5529702305793762},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4965277314186096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4798819124698639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4670870006084442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4262763559818268},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4259202480316162},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.41549211740493774},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3712056577205658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3592144250869751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2811709940433502},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2283019721508026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10441777110099792},{"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24113335","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113335","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3335/pdf?version=1716463632","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38894125","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38894125","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11174808","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11174808","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:095f2b7104b1479287144d7d1fe83921","is_oa":true,"landing_page_url":"https://doaj.org/article/095f2b7104b1479287144d7d1fe83921","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 11, p 3335 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24113335","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113335","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3335/pdf?version=1716463632","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1518133376","display_name":null,"funder_award_id":"No.RS-2022-00167194","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G942980558","display_name":null,"funder_award_id":"No.RS-2023-00212484","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398236712.pdf"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1677182931","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W1950594372","https://openalex.org/W2031489346","https://openalex.org/W2047920195","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2149669120","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2747675701","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2799120945","https://openalex.org/W2866634454","https://openalex.org/W2883996939","https://openalex.org/W2891158090","https://openalex.org/W2895240252","https://openalex.org/W2895598217","https://openalex.org/W2896155169","https://openalex.org/W2919046835","https://openalex.org/W2945786113","https://openalex.org/W2950800384","https://openalex.org/W2954930822","https://openalex.org/W2962766617","https://openalex.org/W2963037581","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963566548","https://openalex.org/W2963610452","https://openalex.org/W2963645458","https://openalex.org/W2963704386","https://openalex.org/W2963729050","https://openalex.org/W2963786238","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2972006294","https://openalex.org/W2985384565","https://openalex.org/W2988916019","https://openalex.org/W3013529009","https://openalex.org/W3034259513","https://openalex.org/W3034971973","https://openalex.org/W3035022492","https://openalex.org/W3035028692","https://openalex.org/W3042011474","https://openalex.org/W3096609285","https://openalex.org/W3101872003","https://openalex.org/W3116489684","https://openalex.org/W3202618425","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W4205719718","https://openalex.org/W4249022109","https://openalex.org/W4319663702","https://openalex.org/W4385569638","https://openalex.org/W4386083034","https://openalex.org/W4388979504","https://openalex.org/W4390872911","https://openalex.org/W4390873750","https://openalex.org/W6677645113","https://openalex.org/W6714138976","https://openalex.org/W6735913928","https://openalex.org/W6752237900"],"related_works":["https://openalex.org/W2390255551","https://openalex.org/W2367511445","https://openalex.org/W2381930792","https://openalex.org/W2358901819","https://openalex.org/W745733672","https://openalex.org/W2983545107","https://openalex.org/W2389102290","https://openalex.org/W2094745766","https://openalex.org/W233026431","https://openalex.org/W2379069623"],"abstract_inverted_index":{"With":[0],"the":[1,15,21,81,90,93,129,146,179,185,190,202,208,233],"introduction":[2],"of":[3,9,17,49,84,92,131,148,184,226,236],"deep":[4,50],"learning,":[5],"a":[6,66,98,163],"significant":[7],"amount":[8],"research":[10,26],"has":[11],"been":[12],"conducted":[13],"in":[14,20,192],"field":[16],"computer":[18],"vision":[19],"past":[22],"decade.":[23],"In":[24],"particular,":[25],"on":[27,156,201,246],"object":[28,68],"detection":[29],"(OD)":[30],"continues":[31],"to":[32,42,45,80,101,137,218],"progress":[33],"rapidly.":[34],"However,":[35],"despite":[36],"these":[37],"advances,":[38],"some":[39],"limitations":[40,83],"need":[41],"be":[43,112,244],"overcome":[44],"enable":[46],"real-world":[47],"applications":[48],"learning-based":[51],"OD":[52,59,86,106,109,135,151,168,193,229],"models.":[53,172],"One":[54],"such":[55,88],"limitation":[56],"is":[57,63,69,78,97,194,214],"inaccurate":[58],"when":[60,166,178],"image":[61,116],"quality":[62,117],"poor":[64],"or":[65,118],"target":[67,120],"small.":[70],"The":[71,159,240],"performance":[72,110,191],"degradation":[73],"phenomenon":[74],"for":[75,141,211],"small":[76,119,142,212],"objects":[77,213],"similar":[79],"fundamental":[82],"an":[85,105,224],"model,":[87],"as":[89,197],"constraint":[91],"receptive":[94],"field,":[95],"which":[96],"difficult":[99],"problem":[100],"solve":[102],"using":[103],"only":[104],"model.":[107],"Therefore,":[108],"can":[111,243],"hindered":[113],"by":[114],"low":[115],"objects.":[121,143,220],"To":[122],"address":[123],"this":[124,126],"issue,":[125],"study":[127],"investigates":[128],"compatibility":[130],"super-resolution":[132],"(SR)":[133],"and":[134,150,228],"techniques":[136],"improve":[138],"detection,":[139],"particularly":[140],"We":[144],"analyze":[145],"combination":[147],"SR":[149,171,186,227],"models,":[152],"classifying":[153],"them":[154],"based":[155],"architectural":[157],"characteristics.":[158],"experimental":[160,241],"results":[161],"show":[162],"substantial":[164],"improvement":[165],"integrating":[167],"detectors":[169],"with":[170],"Overall,":[173],"it":[174],"was":[175],"demonstrated":[176],"that,":[177],"evaluation":[180],"metrics":[181],"(PSNR,":[182],"SSIM)":[183],"models":[187],"are":[188],"high,":[189],"correspondingly":[195],"high":[196],"well.":[198],"Especially,":[199],"evaluations":[200],"MS":[203],"COCO":[204],"dataset":[205],"reveal":[206],"that":[207],"enhancement":[209],"rate":[210],"9.4%":[215],"higher":[216],"compared":[217],"all":[219],"This":[221],"work":[222],"provides":[223],"analysis":[225],"model":[230],"compatibility,":[231],"demonstrating":[232],"potential":[234],"benefits":[235],"their":[237],"synergistic":[238],"combination.":[239],"code":[242],"found":[245],"our":[247],"GitHub":[248],"repository.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
