{"id":"https://openalex.org/W4399283352","doi":"https://doi.org/10.1109/pais62114.2024.10541253","title":"mini-Unet GAN: Optimized GAN for Monocular Depth Estimation","display_name":"mini-Unet GAN: Optimized GAN for Monocular Depth Estimation","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4399283352","doi":"https://doi.org/10.1109/pais62114.2024.10541253"},"language":"en","primary_location":{"id":"doi:10.1109/pais62114.2024.10541253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pais62114.2024.10541253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","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/A5098993603","display_name":"Naoual El Djouher Mebtouche","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Naoual El Djouher Mebtouche","raw_affiliation_strings":["USTHB,Faculty of Computer Science,Algiers,Algeria","Faculty of Computer Science, USTHB, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTHB,Faculty of Computer Science,Algiers,Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]},{"raw_affiliation_string":"Faculty of Computer Science, USTHB, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063894783","display_name":"Nadia Baha","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Nadia Baha","raw_affiliation_strings":["USTHB,Faculty of Computer Science,Algiers,Algeria","Faculty of Computer Science, USTHB, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTHB,Faculty of Computer Science,Algiers,Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]},{"raw_affiliation_string":"Faculty of Computer Science, USTHB, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066613997","display_name":"Okba Bekhelifi","orcid":"https://orcid.org/0000-0001-8629-2240"},"institutions":[{"id":"https://openalex.org/I3124969661","display_name":"Universit\u00e9 des Sciences et de la Technologie d'Oran Mohamed Boudiaf","ror":"https://ror.org/02nbj1r55","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3124969661"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Okba Bekhelifi","raw_affiliation_strings":["USTO,Electronics Department,Oran,Algeria","Electronics Department, USTO, Oran, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTO,Electronics Department,Oran,Algeria","institution_ids":["https://openalex.org/I3124969661"]},{"raw_affiliation_string":"Electronics Department, USTO, Oran, Algeria","institution_ids":["https://openalex.org/I3124969661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8749,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73598119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7778202891349792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7659956216812134},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7535985708236694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6465628147125244},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5592681765556335},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5482079982757568},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5207509994506836},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4965069890022278},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4914501905441284},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.48861557245254517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4292529821395874},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4217125177383423},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4117279350757599},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4112921357154846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3791819214820862},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07350963354110718}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7778202891349792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659956216812134},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7535985708236694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6465628147125244},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5592681765556335},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5482079982757568},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5207509994506836},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4965069890022278},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4914501905441284},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.48861557245254517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4292529821395874},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4217125177383423},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4117279350757599},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4112921357154846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3791819214820862},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07350963354110718},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"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:10.1109/pais62114.2024.10541253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pais62114.2024.10541253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2074254947","https://openalex.org/W2593414960","https://openalex.org/W2793286375","https://openalex.org/W2808157808","https://openalex.org/W2905536983","https://openalex.org/W2928601293","https://openalex.org/W2951234442","https://openalex.org/W2960206397","https://openalex.org/W2962807621","https://openalex.org/W2963073614","https://openalex.org/W2963316641","https://openalex.org/W2964014680","https://openalex.org/W3023195650","https://openalex.org/W3034604951","https://openalex.org/W3173409262","https://openalex.org/W3204559841","https://openalex.org/W3205829517","https://openalex.org/W4206545998","https://openalex.org/W4210275740","https://openalex.org/W4220725049","https://openalex.org/W4292974688","https://openalex.org/W4353073792","https://openalex.org/W4384160822","https://openalex.org/W4386076206","https://openalex.org/W6638523607","https://openalex.org/W6685261749","https://openalex.org/W6802066719"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W2888032422","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Depth":[0],"estimation":[1,30,41,54],"is":[2],"an":[3],"ill-posed":[4],"problem":[5],"in":[6,56,76],"computer":[7],"vision":[8],"which":[9],"has":[10,31],"numerous":[11],"applications":[12,57],"such":[13,58],"as":[14,59],"augmented":[15],"reality,":[16,18],"virtual":[17],"and":[19,64,142,145],"autonomous":[20,60],"driving.":[21],"Recently,":[22],"with":[23,148],"the":[24,49,125,128,149,152],"emergence":[25],"of":[26,51,121,127,151],"deep":[27,36],"learning,":[28],"depth":[29,40,53,66,95,133],"achieved":[32],"significant":[33],"results.":[34],"However,":[35],"learning-based":[37],"methods":[38],"for":[39,70],"require":[42],"heavy":[43],"computational":[44],"resources.":[45],"This":[46],"challenge":[47],"limits":[48],"scalability":[50],"deploying":[52],"models":[55],"driving":[61],"where":[62],"efficient,":[63],"accurate":[65],"maps":[67],"are":[68,154],"crucial":[69],"safety.":[71],"To":[72],"tackle":[73],"this":[74,77],"problem,":[75],"paper,":[78],"we":[79,100,117],"propose":[80,101,118],"a":[81,102,107,119],"novel":[82,103],"efficient":[83],"network":[84,111],"based":[85],"on":[86,139],"generative":[87,109],"adversarial":[88,110],"networks":[89],"named":[90],"mini-Unet":[91],"GAN":[92],"to":[93,105,112,123,130],"recover":[94],"from":[96],"monocular":[97],"images.":[98],"First,":[99],"strategy":[104],"optimize":[106],"famous":[108],"reduce":[113],"its":[114],"complexity.":[115],"Then,":[116],"set":[120],"techniques":[122],"increase":[124],"accuracy":[126],"model":[129],"generate":[131],"precise":[132],"maps.":[134],"Extensive":[135],"experiments":[136],"were":[137],"conducted":[138],"KITTI":[140],"dataset":[141],"real-life":[143],"images":[144],"comparative":[146],"evaluations":[147],"state":[150],"art":[153],"presented.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}