{"id":"https://openalex.org/W4368228560","doi":"https://doi.org/10.1145/3577148.3577152","title":"Unsupervised Transfer Learning for Generative Image Inpainting with Adversarial Edge Learning","display_name":"Unsupervised Transfer Learning for Generative Image Inpainting with Adversarial Edge Learning","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4368228560","doi":"https://doi.org/10.1145/3577148.3577152"},"language":"en","primary_location":{"id":"doi:10.1145/3577148.3577152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577148.3577152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","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/A5001898086","display_name":"Yiming Zhao","orcid":"https://orcid.org/0000-0002-0747-8598"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiming Zhao","raw_affiliation_strings":["Qingdao School of Software, School of Computer Science and Technology, China University of Petroleum (East China), China"],"raw_orcid":"https://orcid.org/0000-0002-0747-8598","affiliations":[{"raw_affiliation_string":"Qingdao School of Software, School of Computer Science and Technology, China University of Petroleum (East China), China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040940470","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-6177-3301"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["Qingdao School of Software, School of Computer Science and Technology, China University of Petroleum (East China), China"],"raw_orcid":"https://orcid.org/0000-0002-6177-3301","affiliations":[{"raw_affiliation_string":"Qingdao School of Software, School of Computer Science and Technology, China University of Petroleum (East China), China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034293695","display_name":"Zishuo Sun","orcid":"https://orcid.org/0000-0003-1905-2516"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zishuo Sun","raw_affiliation_strings":["School of information and electrical engineering, Hebei University of Engineering,Handan, China"],"raw_orcid":"https://orcid.org/0000-0003-1905-2516","affiliations":[{"raw_affiliation_string":"School of information and electrical engineering, Hebei University of Engineering,Handan, China","institution_ids":["https://openalex.org/I106079672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001898086"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.2041,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51392086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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":0.9962999820709229,"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":0.7711999416351318},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7710807919502258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7267194390296936},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7057996988296509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5927920341491699},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5636101961135864},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5243169069290161},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5148648023605347},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4879988729953766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48391181230545044},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.45586398243904114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.447824627161026},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4426160454750061},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42461609840393066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22967711091041565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10930317640304565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7711999416351318},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7710807919502258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7267194390296936},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7057996988296509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5927920341491699},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5636101961135864},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5243169069290161},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5148648023605347},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4879988729953766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48391181230545044},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.45586398243904114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.447824627161026},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4426160454750061},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42461609840393066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22967711091041565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10930317640304565},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577148.3577152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577148.3577152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.49000000953674316,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2055132753","https://openalex.org/W2149933564","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2552465644","https://openalex.org/W2572730214","https://openalex.org/W2580360036","https://openalex.org/W2798365772","https://openalex.org/W2907097116","https://openalex.org/W2963073614","https://openalex.org/W4240153047","https://openalex.org/W4249970585","https://openalex.org/W4286980377","https://openalex.org/W4313156423","https://openalex.org/W6631190155","https://openalex.org/W6638891565","https://openalex.org/W6770432743","https://openalex.org/W6801986474","https://openalex.org/W6803870738"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W4313289428","https://openalex.org/W2997709384","https://openalex.org/W4220996320","https://openalex.org/W4312200629","https://openalex.org/W3012393889","https://openalex.org/W4200442073","https://openalex.org/W3099765033","https://openalex.org/W3186919929","https://openalex.org/W4320737025"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"image":[2,20],"restoration":[3],"techniques":[4],"have":[5],"made":[6],"great":[7],"progress":[8],"in":[9,19,39,139],"recent":[10],"years,":[11],"and":[12,32,51,57,72,107,114,131],"EdgeConnect":[13,25,55],"network":[14,95],"has":[15],"achieved":[16],"good":[17],"results":[18],"restoration.":[21],"We":[22,42,110],"find":[23],"that":[24,133],"suffers":[26],"from":[27,119],"a":[28,59,79,85,123],"complex":[29],"training":[30,91],"process":[31],"poor":[33,48],"migratability,":[34],"which":[35],"reduces":[36],"its":[37],"usability":[38],"practical":[40],"applications.":[41],"explore":[43],"the":[44,47,54,67,94,101,128],"reasons":[45],"for":[46,66],"transferability":[49],"learning":[50,64,113],"generalization":[52],"of":[53,69,82,88,100,141],"model,":[56],"propose":[58],"small-sample":[60],"unsupervised":[61],"joint":[62],"transfer":[63],"method":[65,77],"case":[68],"small":[70,86],"datasets":[71],"low":[73],"data":[74],"similarity.":[75],"The":[76],"combines":[78],"large":[80],"amount":[81,87],"Fine-tune":[83],"with":[84,122],"direct":[89],"migration":[90,112],"to":[92,96],"enable":[93],"learn":[97],"new":[98],"knowledge":[99],"target":[102],"domain":[103],"while":[104],"avoiding":[105],"overfitting":[106],"negative":[108],"migration.":[109],"perform":[111],"evaluation":[115],"on":[116,127],"600":[117],"images":[118],"Paris":[120],"StreetView":[121],"pre-trained":[124],"model":[125],"obtained":[126],"CelebA":[129],"dataset,":[130],"show":[132],"it":[134],"outperforms":[135],"other":[136],"current":[137],"methods":[138],"terms":[140],"quality.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}