{"id":"https://openalex.org/W2908744545","doi":"https://doi.org/10.1109/dicta.2018.8615838","title":"Bi-Modal Content Based Image Retrieval using Multi-class Cycle-GAN","display_name":"Bi-Modal Content Based Image Retrieval using Multi-class Cycle-GAN","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2908744545","doi":"https://doi.org/10.1109/dicta.2018.8615838","mag":"2908744545"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5004376043","display_name":"Girraj Pahariya","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Girraj Pahariya","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004376043"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4828871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T11439","display_name":"Video Analysis and Summarization","score":0.9948999881744385,"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":0.6580924391746521},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.655409038066864},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6167020797729492},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5332775712013245},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5017144680023193},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.47944727540016174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39292043447494507},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38012057542800903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3346385359764099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32810840010643005},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.21393796801567078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11582696437835693},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.06997448205947876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580924391746521},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.655409038066864},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6167020797729492},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5332775712013245},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5017144680023193},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.47944727540016174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39292043447494507},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38012057542800903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3346385359764099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32810840010643005},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.21393796801567078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11582696437835693},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.06997448205947876},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W222441047","https://openalex.org/W1686810756","https://openalex.org/W1882440334","https://openalex.org/W1892078565","https://openalex.org/W1913628733","https://openalex.org/W1972420097","https://openalex.org/W1976664910","https://openalex.org/W2046589280","https://openalex.org/W2048738095","https://openalex.org/W2053925648","https://openalex.org/W2080955644","https://openalex.org/W2089419519","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2123229215","https://openalex.org/W2125635584","https://openalex.org/W2131846894","https://openalex.org/W2163605009","https://openalex.org/W2204975001","https://openalex.org/W2255259862","https://openalex.org/W2340690086","https://openalex.org/W2466618734","https://openalex.org/W2471581439","https://openalex.org/W2493181180","https://openalex.org/W2515723519","https://openalex.org/W2949877834","https://openalex.org/W2962793481","https://openalex.org/W2963118547","https://openalex.org/W2963275094","https://openalex.org/W2964024144","https://openalex.org/W4211038350","https://openalex.org/W4320013936","https://openalex.org/W6647340553","https://openalex.org/W6678593106","https://openalex.org/W6684191040","https://openalex.org/W6704508018","https://openalex.org/W6764235039"],"related_works":["https://openalex.org/W2162490675","https://openalex.org/W1825808266","https://openalex.org/W2519881370","https://openalex.org/W1542828881","https://openalex.org/W2171664302","https://openalex.org/W2363841310","https://openalex.org/W2159851394","https://openalex.org/W3162525485","https://openalex.org/W2734627150","https://openalex.org/W2368698191"],"abstract_inverted_index":{"Content":[0],"Based":[1],"Image":[2],"Retrieval":[3],"(CBIR)":[4],"systems":[5,21],"retrieve":[6,29],"relevant":[7],"images":[8,31],"from":[9,32,47,56,120],"a":[10,23,33,82,86,100,109,137],"database":[11,59],"based":[12,35,113],"on":[13,36,158],"the":[14,17,37,72,79,90,132,167],"content":[15],"of":[16,54,64,78,88,169],"query.":[18],"Most":[19],"CBIR":[20,102],"take":[22,118],"query":[24,112],"image":[25,58,124],"as":[26,41],"input":[27],"and":[28,44,69,96,123,145,153,164],"similar":[30],"gallery,":[34],"global":[38],"features":[39],"(such":[40],"texture,":[42],"shape,":[43],"color)":[45],"extracted":[46],"an":[48,57],"image.":[49],"There":[50,84],"are":[51,66],"several":[52,156],"ways":[53],"querying":[55],"for":[60,98],"retrieval":[61,114],"purpose.":[62],"Some":[63],"which":[65,116],"text,":[67],"image,":[68],"sketch.":[70],"However,":[71],"traditional":[73],"methodologies":[74],"support":[75],"only":[76],"one":[77],"domains":[80,94],"at":[81,130],"time.":[83],"is":[85],"need":[87],"bridging":[89],"gap":[91,134],"between":[92],"different":[93],"(sketch":[95],"image)":[97],"enabling":[99],"Multi-Modal":[101],"system.":[103],"In":[104],"this":[105],"work,":[106],"we":[107],"propose":[108],"novel":[110],"bimodal":[111],"framework,":[115],"can":[117],"inputs":[119],"both":[121],"sketch":[122,161],"domains.":[125],"The":[126],"proposed":[127,171],"framework":[128],"aims":[129],"reducing":[131],"domain":[133,148],"by":[135],"learning":[136],"mapping":[138],"function":[139],"using":[140],"Generative":[141],"Adversarial":[142],"Networks":[143],"(GANs)":[144],"supervised":[146],"deep":[147],"adaptation":[149],"techniques.":[150],"Extensive":[151],"experimentation":[152],"comparison":[154],"with":[155],"baselines":[157],"two":[159],"popular":[160],"datasets":[162],"(Sketchy":[163],"TU-Berlin)":[165],"show":[166],"effectiveness":[168],"our":[170],"framework.":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}