{"id":"https://openalex.org/W3034953667","doi":"https://doi.org/10.1109/icme46284.2020.9102965","title":"Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation","display_name":"Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034953667","doi":"https://doi.org/10.1109/icme46284.2020.9102965","mag":"3034953667"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100765926","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0003-3550-2310"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"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":"Jian Zhang","raw_affiliation_strings":["University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Guo-Sen Xie","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Yao","raw_affiliation_strings":["Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043863561","display_name":"Xiaoshui Huang","orcid":"https://orcid.org/0000-0002-3579-538X"},"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":"Xiaoshui Huang","raw_affiliation_strings":["University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735663","display_name":"Zhenmin Tang","orcid":"https://orcid.org/0000-0001-6708-2205"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenmin Tang","raw_affiliation_strings":["Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Social Safety Science and Technology, School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9793999791145325,"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":0.9846158623695374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116756081581116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728774905204773},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6597850322723389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5891375541687012},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5841451287269592},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49357736110687256},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46265608072280884},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4566951394081116},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4339442253112793},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41381579637527466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08597293496131897}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9846158623695374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116756081581116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728774905204773},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6597850322723389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5891375541687012},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5841451287269592},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49357736110687256},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46265608072280884},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4566951394081116},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4339442253112793},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41381579637527466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08597293496131897},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme46284.2020.9102965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/143100","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/143100","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2507181749","https://openalex.org/W2524029660","https://openalex.org/W2552684688","https://openalex.org/W2556951257","https://openalex.org/W2562192638","https://openalex.org/W2787984249","https://openalex.org/W2791528017","https://openalex.org/W2807978488","https://openalex.org/W2808711976","https://openalex.org/W2891355224","https://openalex.org/W2939571759","https://openalex.org/W2945049603","https://openalex.org/W2945328857","https://openalex.org/W2962808524","https://openalex.org/W2962976523","https://openalex.org/W2963107255","https://openalex.org/W2963120918","https://openalex.org/W2964168984","https://openalex.org/W2966337526","https://openalex.org/W2969893028","https://openalex.org/W2982407353","https://openalex.org/W2995933538","https://openalex.org/W2996841154","https://openalex.org/W2997487053","https://openalex.org/W2998418694","https://openalex.org/W3000731189","https://openalex.org/W3005324544","https://openalex.org/W3101225052","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6730623217","https://openalex.org/W6746282794","https://openalex.org/W6762753787","https://openalex.org/W6771911441","https://openalex.org/W6772357780","https://openalex.org/W6772501829"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W2969399009"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,26,122],"adaptation":[2,27],"for":[3,25,112],"semantic":[4],"segmentation":[5,113],"aims":[6],"to":[7,14,29,64,72,91,100,119],"transfer":[8],"knowledge":[9],"from":[10,46],"label-rich":[11],"synthetic":[12],"datasets":[13],"real-world":[15],"images":[16],"without":[17],"any":[18,79],"annotation.":[19],"The":[20,133],"traditional":[21],"adversarial":[22,50,75],"learning":[23],"methods":[24,44],"learn":[28],"extract":[30,105],"domain-invariant":[31,107],"feature":[32,37,53,103],"representations":[33],"by":[34,77],"aligning":[35],"the":[36,74,86,93,102,106,121,127],"distributions":[38],"of":[39,129],"both":[40],"domains.":[41],"However,":[42],"these":[43,66],"suffer":[45],"an":[47,96],"imbalance":[48],"in":[49,85],"training":[51,76],"and":[52,136],"distortion.":[54],"In":[55],"this":[56],"work,":[57],"we":[58,69,89],"propose":[59,71,90],"a":[60],"classification":[61,98],"constrained":[62],"discriminator":[63,94],"alleviate":[65],"problems.":[67],"Specifically,":[68],"first":[70],"balance":[73],"eliminating":[78],"pooling":[80],"layers":[81],"or":[82],"strided":[83],"convolutions":[84],"discriminator.":[87,123],"Then,":[88],"constrain":[92],"with":[95],"auxiliary":[97],"loss":[99],"help":[101],"generator":[104],"features":[108,118],"that":[109],"are":[110],"useful":[111],"rather":[114],"than":[115],"just":[116],"ambiguous":[117],"fool":[120],"Extensive":[124],"experiments":[125],"demonstrate":[126],"superiority":[128],"our":[130],"proposed":[131],"approach.":[132],"source":[134],"code":[135],"models":[137],"have":[138],"been":[139],"made":[140],"available":[141],"at":[142],"https://github.com/NUSTMachine-Intelligence-Laboratory/ccd.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
