{"id":"https://openalex.org/W4413556883","doi":"https://doi.org/10.1109/tip.2025.3599929","title":"GIDDM: Generating Labels With Diffusion Model to Promote Cross-Domain Open-Set Image Recognition","display_name":"GIDDM: Generating Labels With Diffusion Model to Promote Cross-Domain Open-Set Image Recognition","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413556883","doi":"https://doi.org/10.1109/tip.2025.3599929","pmid":"https://pubmed.ncbi.nlm.nih.gov/40853793"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3599929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3599929","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/A5100427190","display_name":"Haoyu Wang","orcid":"https://orcid.org/0000-0002-8905-822X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8905-822X","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614552","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0009-1569-9807"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-1569-9807","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850531","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0002-7487-2544"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7487-2544","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84473883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"35","issue":null,"first_page":"1802","last_page":"1816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8486999869346619,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8486999869346619,"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":0.7416999936103821,"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":0.6183801293373108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5826985836029053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5301022529602051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5239527225494385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5114678144454956},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.46790939569473267},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4548441171646118},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4310314357280731},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4158293604850769},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23927435278892517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183801293373108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5826985836029053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5301022529602051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5239527225494385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5114678144454956},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.46790939569473267},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4548441171646118},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4310314357280731},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4158293604850769},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23927435278892517},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3599929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3599929","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:40853793","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40853793","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":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G355708474","display_name":null,"funder_award_id":"2025-00352","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4358952723","display_name":null,"funder_award_id":"62303468","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4756161396","display_name":null,"funder_award_id":"62176259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4823360002","display_name":null,"funder_award_id":"62373364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6172900300","display_name":null,"funder_award_id":"62303469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6564810048","display_name":null,"funder_award_id":"BK20221112","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8542357367","display_name":null,"funder_award_id":"BK20221116","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2104748762","https://openalex.org/W2898307578","https://openalex.org/W2901114541","https://openalex.org/W2904509905","https://openalex.org/W2963149653","https://openalex.org/W2963924212","https://openalex.org/W3021632667","https://openalex.org/W3139323134","https://openalex.org/W3173799170","https://openalex.org/W4226426325","https://openalex.org/W4284713852","https://openalex.org/W4312417111","https://openalex.org/W4313377937","https://openalex.org/W4360770903","https://openalex.org/W4367359689","https://openalex.org/W4376464610","https://openalex.org/W4379117134","https://openalex.org/W4382371057","https://openalex.org/W4386212318","https://openalex.org/W4386523721","https://openalex.org/W4386634204","https://openalex.org/W4386858191","https://openalex.org/W4390908058","https://openalex.org/W4392826163","https://openalex.org/W4393144927","https://openalex.org/W4394773589","https://openalex.org/W4394842426","https://openalex.org/W4396680505","https://openalex.org/W4399206249","https://openalex.org/W4401211332","https://openalex.org/W4401357993","https://openalex.org/W4402436833","https://openalex.org/W4410086785","https://openalex.org/W4415797084"],"related_works":["https://openalex.org/W325681004","https://openalex.org/W2162041136","https://openalex.org/W2344190797","https://openalex.org/W4300523141","https://openalex.org/W2952214616","https://openalex.org/W1976268846","https://openalex.org/W2124572003","https://openalex.org/W2393302202","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"Due":[0],"to":[1,29,43,70,94,127,135,160,200,234],"the":[2,31,52,72,107,111,121,129,147,157,162,175,189,193,208,211,225,245,252,267,286],"lack":[3],"of":[4,131,192,229,247],"prior":[5],"knowledge":[6,172,176,205],"about":[7],"unknown":[8,38,78,137,169,241],"classes":[9,79,170,242,249],"during":[10,110],"training,":[11],"existing":[12],"methods":[13],"for":[14],"cross-domain":[15,274],"open-set":[16,141,219,275],"image":[17,262,276],"recognition":[18,142,277],"typically":[19],"rely":[20],"on":[21,106,259,273,285],"threshold-based":[22],"solutions.":[23],"However,":[24],"such":[25],"approaches":[26],"often":[27],"struggle":[28],"capture":[30],"complex":[32,163],"boundary":[33,73,164],"relationships":[34,74,165],"between":[35,51,75,166,207,238],"known":[36,76,167,239,248],"and":[37,77,120,155,168,195,240,254],"classes,":[39],"which":[40],"can":[41,282],"lead":[42],"negative":[44],"transfer":[45,206],"effects":[46],"caused":[47],"by":[48],"feature":[49],"confusion":[50],"two.":[53],"To":[54],"address":[55],"this":[56,58],"issue,":[57],"paper":[59],"proposes":[60],"a":[61,81,89,100,132,152,183,217],"graph":[62,184],"isomorphic":[63,185],"distillation":[64,177],"diffusion":[65,90,149],"model":[66,96],"(GIDDM)":[67],"that":[68,84,266],"aims":[69],"learn":[71,161],"from":[80],"closed-set":[82,148,230],"classifier":[83,91,150,159],"models":[85],"predictive":[86,97,190],"uncertainty.":[87],"First,":[88],"is":[92,118,125,144,179,214],"designed":[93],"quantify":[95],"uncertainty":[98,116],"through":[99,171],"Monte":[101],"Carlo":[102],"sampling":[103],"strategy":[104],"performed":[105],"noise":[108],"distribution":[109,117,123],"reverse":[112],"denoising":[113],"process.":[114],"The":[115,279],"modeled,":[119],"cumulative":[122],"function":[124],"used":[126],"compute":[128],"probability":[130],"sample":[133],"belonging":[134],"an":[136,140],"class.":[138],"Second,":[139],"framework":[143],"constructed,":[145],"treating":[146],"as":[151,182],"teacher":[153,196],"classifier,":[154],"guiding":[156],"student":[158,194],"distillation.":[173],"Third,":[174],"process":[178,213],"further":[180],"formalized":[181],"optimization":[186,227],"problem,":[187],"where":[188],"manifolds":[191],"classifiers":[197],"are":[198],"constrained":[199],"be":[201,283],"consistent,":[202],"thereby":[203],"enhancing":[204],"classifiers.":[209],"Finally,":[210],"entire":[212],"integrated":[215],"into":[216],"unified":[218],"adversarial":[220,231],"domain":[221,232],"adaptation":[222,233],"framework,":[223],"reconstructing":[224],"traditional":[226],"objectives":[228],"ensure":[235],"sufficient":[236],"separation":[237],"while":[243],"aligning":[244],"distributions":[246],"in":[250],"both":[251],"source":[253],"target":[255],"domains.":[256],"Experiments":[257],"conducted":[258],"multiple":[260],"hyperspectral":[261],"(HSI)":[263],"datasets":[264],"demonstrate":[265],"proposed":[268],"method":[269],"achieves":[270],"state-of-the-art":[271],"performance":[272],"tasks.":[278],"code":[280],"demo":[281],"accessed":[284],"following":[287],"website:":[288],"https://github.com/wzr78998/GIDDM.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
