{"id":"https://openalex.org/W3002962084","doi":"https://doi.org/10.1145/3373419.3373431","title":"Psyncgan for Data Generation Application of Partially Syncronized GAN to Image and Caption Data Generation","display_name":"Psyncgan for Data Generation Application of Partially Syncronized GAN to Image and Caption Data Generation","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3002962084","doi":"https://doi.org/10.1145/3373419.3373431","mag":"3002962084"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in 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/A5067192673","display_name":"Kovtun Valery","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kovtun Valery","raw_affiliation_strings":["R&D Department, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China"],"affiliations":[{"raw_affiliation_string":"R&D Department, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058052334","display_name":"Sajjad Kamali Siahroudi","orcid":"https://orcid.org/0000-0001-8246-6282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sajjad Kamali Siahroudi","raw_affiliation_strings":["R&D Department, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China"],"affiliations":[{"raw_affiliation_string":"R&D Department, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Wei Gang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Gang","raw_affiliation_strings":["Chairman, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China"],"affiliations":[{"raw_affiliation_string":"Chairman, Fertinet Smart Irrigation Equipment INC, Danling, Meishan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067192673"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17093317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987000226974487,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987000226974487,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11439","display_name":"Video Analysis and Summarization","score":0.9907000064849854,"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":0.8147097229957581},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.5984744429588318},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5445322394371033},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5401964783668518},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5242255330085754},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5034589171409607},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.480574369430542},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.47892555594444275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4685947000980377},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.40063533186912537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3831139802932739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35616451501846313},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12686234712600708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147097229957581},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.5984744429588318},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5445322394371033},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5401964783668518},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5242255330085754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5034589171409607},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.480574369430542},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.47892555594444275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4685947000980377},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.40063533186912537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831139802932739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35616451501846313},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12686234712600708},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419.3373431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1710476689","https://openalex.org/W2405756170","https://openalex.org/W2504484664","https://openalex.org/W2604817080","https://openalex.org/W2608015370","https://openalex.org/W2772325643","https://openalex.org/W2896080147","https://openalex.org/W2912447136","https://openalex.org/W2962793481","https://openalex.org/W2963075267","https://openalex.org/W2964024144","https://openalex.org/W4247950230","https://openalex.org/W4298285000","https://openalex.org/W6637568146","https://openalex.org/W6713645886","https://openalex.org/W6746301500","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W3164229987","https://openalex.org/W3215212336","https://openalex.org/W4365211920","https://openalex.org/W4290852288","https://openalex.org/W3217388757","https://openalex.org/W3122720459","https://openalex.org/W4298897568","https://openalex.org/W4289422896","https://openalex.org/W1938708284","https://openalex.org/W4380190185"],"abstract_inverted_index":{"A":[0],"common":[1],"problem":[2],"that":[3,22,75,84,138,224,239],"is":[4,16,38,47,71,76,137,140],"seen":[5],"in":[6,30,218],"most":[7],"practical":[8,45,91],"applications":[9,46],"of":[10,20,34,53,82,125,133,144,148,158,162,181,215],"the":[11,17,28,51,109,159,168,184,188,212],"general":[12],"machine":[13,95],"learning":[14,96,241],"algorithms":[15],"insufficient":[18,89],"amount":[19,52,124,180,214],"data":[21,37,61,83,93,164,185,242,252,263],"has":[23],"been":[24],"already":[25],"tagged":[26],"for":[27,44,66,90,233,259],"application":[29],"hand.":[31],"The":[32,131,191],"abundance":[33],"unsyncronized":[35],"(untagged)":[36],"growing":[39],"exponentially,":[40],"yet":[41],"its":[42],"useability":[43],"limited":[48,123,213],"due":[49],"to":[50,58,78,171,174,209],"time":[54],"it":[55,65],"would":[56],"take":[57],"process":[59],"each":[60,67,260],"entry":[62],"and":[63,94,114,129,150,199,247],"classify":[64],"specific":[68],"task.":[69],"PSyncGAN":[70],"a":[72,122,135,202,231,250],"novel":[73],"approach":[74],"able":[77,173,208],"suppliment":[79],"existing":[80],"sets":[81],"are":[85,102,195,240],"either":[86],"incomplete":[87],"or":[88],"big":[92],"applications.":[97],"In":[98],"our":[99],"model,":[100],"we":[101,221],"solving":[103],"two":[104],"multi-modal":[105],"generative":[106,237],"problems":[107],"at":[108],"same":[110],"time,":[111],"Image":[112,115],"captioning":[113],"Generation":[116],"from":[117],"natural":[118],"language":[119],"description":[120],"with":[121],"synchronized":[126,146],"textual":[127],"descriptions":[128],"images.":[130],"benefit":[132],"such":[134],"model":[136,189,226],"there":[139],"no":[141],"strict":[142],"requirement":[143],"having":[145],"corpora":[147],"text":[149],"image,":[151],"but":[152],"can":[153,227],"actually":[154],"make":[155],"heavy":[156],"use":[157],"large":[160],"amounts":[161],"singular":[163],"freely":[165],"available":[166],"on":[167,176,211],"internet,":[169],"thus":[170],"be":[172,228],"train":[175,210],"an":[177],"almost":[178],"infinite":[179],"data,":[182,217],"including":[183],"generated":[186],"by":[187,254],"itself.":[190],"results":[192],"described":[193],"below":[194],"indeed":[196],"very":[197],"promising,":[198],"could":[200],"constitute":[201],"deeper":[203],"research":[204],"direction.":[205],"Besides":[206],"being":[207],"training":[216,251,257,262],"this":[219,225],"paper":[220],"also":[222],"show":[223],"used":[229],"as":[230,249],"basis":[232],"various":[234],"other":[235],"deep":[236],"methods":[238],"distribution":[243],"correlations":[244],"(both":[245],"symmetric":[246],"asymmetric)":[248],"extension,":[253],"providing":[255],"endless":[256],"examples":[258],"proposed":[261],"pair.":[264]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}