{"id":"https://openalex.org/W3097882949","doi":"https://doi.org/10.1109/tip.2020.3037528","title":"Multi-Domain Image-to-Image Translation via a Unified Circular Framework","display_name":"Multi-Domain Image-to-Image Translation via a Unified Circular Framework","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3097882949","doi":"https://doi.org/10.1109/tip.2020.3037528","mag":"3097882949","pmid":"https://pubmed.ncbi.nlm.nih.gov/33201817"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3037528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3037528","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100393131","display_name":"Yuxi Wang","orcid":"https://orcid.org/0000-0003-1579-2357"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxi Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028016065","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2648-3875"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102968763","display_name":"Wangli Hao","orcid":"https://orcid.org/0000-0001-7839-7261"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangli Hao","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068998602","display_name":"Chunfeng Song","orcid":"https://orcid.org/0000-0003-1223-3242"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Song","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100393131"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.72452443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"670","last_page":"684"},"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":0.9886999726295471,"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":0.9886999726295471,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.98580002784729,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9842000007629395,"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/image-translation","display_name":"Image translation","score":0.8250858783721924},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7602248191833496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091794610023499},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6865960359573364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6201708316802979},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.595214307308197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.58273845911026},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5201205015182495},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5030288100242615},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.45515793561935425},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4525822401046753},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4015794098377228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38411271572113037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3518204689025879},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33947834372520447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1927529275417328}],"concepts":[{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.8250858783721924},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7602248191833496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091794610023499},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6865960359573364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6201708316802979},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.595214307308197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58273845911026},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5201205015182495},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5030288100242615},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.45515793561935425},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4525822401046753},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4015794098377228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38411271572113037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3518204689025879},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33947834372520447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1927529275417328},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3037528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3037528","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33201817","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33201817","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4160143202","display_name":null,"funder_award_id":"61836014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G541238242","display_name":null,"funder_award_id":"61761146004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6634442877","display_name":null,"funder_award_id":"61773375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1910108985","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2130056102","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2292976057","https://openalex.org/W2326925005","https://openalex.org/W2331128040","https://openalex.org/W2339754110","https://openalex.org/W2340897893","https://openalex.org/W2475287302","https://openalex.org/W2502312327","https://openalex.org/W2519536754","https://openalex.org/W2521028896","https://openalex.org/W2559823555","https://openalex.org/W2562461196","https://openalex.org/W2566832195","https://openalex.org/W2593414223","https://openalex.org/W2598581049","https://openalex.org/W2603777577","https://openalex.org/W2612063021","https://openalex.org/W2731516742","https://openalex.org/W2738588019","https://openalex.org/W2739748921","https://openalex.org/W2808021526","https://openalex.org/W2808109260","https://openalex.org/W2883638418","https://openalex.org/W2890581551","https://openalex.org/W2891833067","https://openalex.org/W2897501237","https://openalex.org/W2909012790","https://openalex.org/W2921147815","https://openalex.org/W2939645724","https://openalex.org/W2947156405","https://openalex.org/W2947690922","https://openalex.org/W2951640385","https://openalex.org/W2951939904","https://openalex.org/W2957365494","https://openalex.org/W2962793481","https://openalex.org/W2962845008","https://openalex.org/W2962927829","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963163163","https://openalex.org/W2963231084","https://openalex.org/W2963344645","https://openalex.org/W2963373786","https://openalex.org/W2963420272","https://openalex.org/W2963444790","https://openalex.org/W2963626105","https://openalex.org/W2963684088","https://openalex.org/W2963709863","https://openalex.org/W2963767194","https://openalex.org/W2963890275","https://openalex.org/W2963967880","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W2964121744","https://openalex.org/W2970027214","https://openalex.org/W2972043148","https://openalex.org/W3013409203","https://openalex.org/W3098423347","https://openalex.org/W3100823116","https://openalex.org/W3101569186","https://openalex.org/W3104862300","https://openalex.org/W3105838287","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6703724764","https://openalex.org/W6718379498","https://openalex.org/W6724804524","https://openalex.org/W6727501944","https://openalex.org/W6730779222","https://openalex.org/W6734074887","https://openalex.org/W6734564793","https://openalex.org/W6735204497","https://openalex.org/W6741832134","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W3174028392","https://openalex.org/W2380075625","https://openalex.org/W842936808","https://openalex.org/W3011059803","https://openalex.org/W2000517284","https://openalex.org/W2136503713","https://openalex.org/W2365318811","https://openalex.org/W3166129411"],"abstract_inverted_index":{"The":[0],"image-to-image":[1],"translation":[2,32,85,145],"aims":[3],"to":[4,56,102,120],"learn":[5],"the":[6,10,35,90,97,116,137],"corresponding":[7,117],"information":[8,47,92],"between":[9,105],"source":[11],"and":[12,52,96,113,154],"target":[13],"domains.":[14,82,106],"Several":[15],"state-of-the-art":[16],"works":[17],"have":[18],"made":[19],"significant":[20],"progress":[21],"based":[22],"on":[23,142],"generative":[24],"adversarial":[25],"networks":[26],"(GANs).":[27],"However,":[28],"most":[29],"existing":[30],"one-to-one":[31],"methods":[33],"ignore":[34],"correlations":[36],"among":[37,48],"different":[38,49],"domain":[39,50,58,72],"pairs.":[40],"We":[41],"argue":[42],"that":[43],"there":[44],"is":[45,54,100,111],"common":[46],"pairs":[51,59,73],"it":[53],"vital":[55],"multiple":[57,71],"translation.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"a":[66,76],"unified":[67],"circular":[68],"framework":[69],"for":[70],"translation,":[74],"leveraging":[75],"shared":[77],"knowledge":[78,99],"module":[79],"across":[80],"numerous":[81],"One":[83],"selected":[84],"pair":[86],"can":[87,127],"benefit":[88],"from":[89,93],"complementary":[91],"other":[94],"pairs,":[95],"sharing":[98],"conducive":[101],"mutual":[103],"learning":[104],"Moreover,":[107],"absolute":[108],"consistency":[109],"loss":[110],"proposed":[112],"applied":[114],"in":[115,130],"feature":[118],"maps":[119],"ensure":[121],"intra-domain":[122],"consistency.":[123],"Furthermore,":[124],"our":[125,140],"model":[126],"be":[128],"trained":[129],"an":[131],"end-to-end":[132],"manner.":[133],"Extensive":[134],"experiments":[135],"demonstrate":[136],"effectiveness":[138],"of":[139],"approach":[141],"several":[143],"complex":[144],"scenarios,":[146],"such":[147],"as":[148],"Thermal":[149],"IR":[150],"switching,":[151],"weather":[152],"changing,":[153],"semantic":[155],"transfer":[156],"tasks.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
