{"id":"https://openalex.org/W4362470220","doi":"https://doi.org/10.3390/s23073649","title":"SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation","display_name":"SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation","publication_year":2023,"publication_date":"2023-03-31","ids":{"openalex":"https://openalex.org/W4362470220","doi":"https://doi.org/10.3390/s23073649","pmid":"https://pubmed.ncbi.nlm.nih.gov/37050712"},"language":"en","primary_location":{"id":"doi:10.3390/s23073649","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073649","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3649/pdf?version=1680512719","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/1424-8220/23/7/3649/pdf?version=1680512719","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028861287","display_name":"Kunal Chaturvedi","orcid":"https://orcid.org/0000-0001-9940-1565"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kunal Chaturvedi","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023107987","display_name":"Ali Braytee","orcid":"https://orcid.org/0000-0003-2561-6496"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Braytee","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635867","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-1336-2241"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006355592"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2455,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49408137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"23","issue":"7","first_page":"3649","last_page":"3649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9984999895095825,"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/discriminator","display_name":"Discriminator","score":0.93480384349823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7434893250465393},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7354158759117126},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6884547472000122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6799248456954956},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6500983238220215},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6378383636474609},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.5656202435493469},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5592667460441589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5069675445556641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5035478472709656},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.477884441614151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47636744379997253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12014585733413696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06818482279777527}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.93480384349823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434893250465393},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7354158759117126},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6884547472000122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6799248456954956},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6500983238220215},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6378383636474609},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.5656202435493469},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5592667460441589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069675445556641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5035478472709656},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.477884441614151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47636744379997253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12014585733413696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06818482279777527},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23073649","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073649","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3649/pdf?version=1680512719","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:37050712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37050712","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:10098536","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10098536","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10098536/pdf/sensors-23-03649.pdf","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:624e2d63165b4adb9aeefc741fadd536","is_oa":true,"landing_page_url":"https://doaj.org/article/624e2d63165b4adb9aeefc741fadd536","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 23, Iss 7, p 3649 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/7/3649/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23073649","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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; Volume 23; Issue 7; Pages: 3649","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23073649","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073649","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3649/pdf?version=1680512719","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362470220.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2124351162","https://openalex.org/W2294272738","https://openalex.org/W2533598788","https://openalex.org/W2732026016","https://openalex.org/W2896644309","https://openalex.org/W2897359003","https://openalex.org/W2903141607","https://openalex.org/W2924027593","https://openalex.org/W2947847748","https://openalex.org/W2953327099","https://openalex.org/W2963163163","https://openalex.org/W2963306805","https://openalex.org/W2970371739","https://openalex.org/W2972010883","https://openalex.org/W2997166244","https://openalex.org/W3015788359","https://openalex.org/W3024325475","https://openalex.org/W3034241283","https://openalex.org/W3042615550","https://openalex.org/W3080558256","https://openalex.org/W3091123787","https://openalex.org/W3099193570","https://openalex.org/W3108938809","https://openalex.org/W3118329858","https://openalex.org/W3168300215","https://openalex.org/W3171093259","https://openalex.org/W3187567282","https://openalex.org/W3199010270","https://openalex.org/W3201012550","https://openalex.org/W3207924272","https://openalex.org/W3215694718","https://openalex.org/W4205381470","https://openalex.org/W4206848004","https://openalex.org/W4212961686","https://openalex.org/W4214762187","https://openalex.org/W4214902581","https://openalex.org/W4224290506","https://openalex.org/W4226031686","https://openalex.org/W4283702010","https://openalex.org/W4285107695","https://openalex.org/W4285134614","https://openalex.org/W4293733592","https://openalex.org/W4296101946","https://openalex.org/W4303183332","https://openalex.org/W4317038436","https://openalex.org/W6600609147","https://openalex.org/W6638677478","https://openalex.org/W6740934225","https://openalex.org/W6763612067","https://openalex.org/W6796522672","https://openalex.org/W6811099185","https://openalex.org/W6838804504","https://openalex.org/W6845666402"],"related_works":["https://openalex.org/W3110074278","https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3151498616","https://openalex.org/W4381885966","https://openalex.org/W4288256692"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,27],"novel":[4],"self-supervised":[5,31,72],"based":[6],"Cut-and-Paste":[7],"GAN":[8],"to":[9,48,80,87],"perform":[10],"foreground":[11],"object":[12],"segmentation":[13],"and":[14,63,91],"generate":[15],"realistic":[16],"composite":[17],"images":[18],"without":[19],"manual":[20],"annotations.":[21],"We":[22],"accomplish":[23],"this":[24],"goal":[25],"by":[26,84],"simple":[28],"yet":[29],"effective":[30],"approach":[32],"coupled":[33],"with":[34],"the":[35,42,45,52,71,78,96,107,111],"U-Net":[36],"discriminator.":[37,97],"The":[38,74],"proposed":[39,75,103],"method":[40,76,104],"extends":[41],"ability":[43],"of":[44],"standard":[46,112],"discriminators":[47],"learn":[49,61,88],"not":[50],"only":[51],"global":[53,92],"data":[54],"representations":[55],"via":[56],"classification":[57],"(real/fake)":[58],"but":[59],"also":[60],"semantic":[62],"structural":[64],"information":[65],"through":[66],"pseudo":[67],"labels":[68],"created":[69],"using":[70],"task.":[73],"empowers":[77],"generator":[79],"create":[81],"meaningful":[82],"masks":[83],"forcing":[85],"it":[86],"informative":[89],"per-pixel":[90],"image":[93],"feedback":[94],"from":[95],"Our":[98],"experiments":[99],"demonstrate":[100],"that":[101],"our":[102],"significantly":[105],"outperforms":[106],"state-of-the-art":[108],"methods":[109],"on":[110],"benchmark":[113],"datasets.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}