{"id":"https://openalex.org/W7135065563","doi":"https://doi.org/10.1109/tip.2026.3671583","title":"Fourier-KAN: Feature Distribution Decomposition and Recombination for Unknown-Domain Object Detection","display_name":"Fourier-KAN: Feature Distribution Decomposition and Recombination for Unknown-Domain Object Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135065563","doi":"https://doi.org/10.1109/tip.2026.3671583","pmid":"https://pubmed.ncbi.nlm.nih.gov/41817999"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3671583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3671583","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/A5128890565","display_name":"Zihao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0001-9664-0218","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128808572","display_name":"Yang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066818276","display_name":"Aming Wu","orcid":"https://orcid.org/0000-0001-8426-0392"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aming Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128816913","display_name":"Yahong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2768-1398","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin Key Laboratory of Machine Learning, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2443722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"2609","last_page":"2624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.2962999939918518,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.2962999939918518,"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":0.2282000035047531,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08760000020265579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6118000149726868},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5738000273704529},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5113999843597412},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44690001010894775},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.397599995136261},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3882000148296356},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37299999594688416},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3431999981403351}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532999873161316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6118000149726868},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5738000273704529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332000255584717},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5113999843597412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37299999594688416},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3422999978065491},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.33149999380111694},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3264000117778778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3176000118255615},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2831000089645386},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3671583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3671583","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:41817999","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41817999","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/G1297212625","display_name":null,"funder_award_id":"62376186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3871201722","display_name":null,"funder_award_id":"62472333","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":33,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2962823940","https://openalex.org/W2981488580","https://openalex.org/W3169545167","https://openalex.org/W3172854222","https://openalex.org/W4200294279","https://openalex.org/W4231896027","https://openalex.org/W4312740566","https://openalex.org/W4386066070","https://openalex.org/W4386076274","https://openalex.org/W4386598518","https://openalex.org/W4391547653","https://openalex.org/W4393178470","https://openalex.org/W4399485162","https://openalex.org/W4400546943","https://openalex.org/W4402716350","https://openalex.org/W4402754037","https://openalex.org/W4402754155","https://openalex.org/W4403277953","https://openalex.org/W4403721369","https://openalex.org/W4403827186","https://openalex.org/W4404056976","https://openalex.org/W4406163664","https://openalex.org/W4409356433","https://openalex.org/W4410393483","https://openalex.org/W4412420123","https://openalex.org/W4412536480","https://openalex.org/W4412747717","https://openalex.org/W4413144416","https://openalex.org/W4413146756","https://openalex.org/W4413224864","https://openalex.org/W4414229233"],"related_works":[],"abstract_inverted_index":{"Single-domain":[0],"Generalized":[1],"Object":[2],"Detection":[3],"(Single-DGOD)":[4],"is":[5,214],"recently":[6],"proposed,":[7],"aiming":[8],"to":[9,13,30,40,76,110,124,164,172],"transfer":[10],"a":[11,73,78,97,142],"detector":[12],"multiple":[14,43,133],"unknown":[15,44,165],"domains":[16,45],"never":[17],"seen":[18],"during":[19],"training.":[20],"For":[21],"this":[22,66],"task,":[23],"the":[24,32,37,51,58,62,105,121,160,184,202],"challenge":[25,52],"mainly":[26],"lies":[27],"in":[28,86,91,155],"how":[29],"utilize":[31],"single":[33],"data":[34,48,59],"distribution":[35,60],"from":[36,72],"source":[38,63],"domain":[39],"generalize":[41],"across":[42],"with":[46,147],"diverse":[47,148],"distributions.":[49,135],"Accordingly,":[50],"could":[53],"be":[54],"addressed":[55],"by":[56],"expanding":[57],"of":[61,80,132,144],"domain.":[64],"In":[65],"paper,":[67],"we":[68,95,119,140],"propose":[69,96],"feature":[70,156],"recombination":[71],"frequency":[74],"perspective":[75],"generate":[77,141],"series":[79,143],"recombined":[81,145],"features":[82,112,146],"that":[83,182],"exhibit":[84],"diversity":[85],"style":[87],"and":[88,115,158,175,187],"rich":[89],"variation":[90],"content":[92],"features.":[93],"Specifically,":[94],"new":[98],"method,":[99],"Fourier-KAN":[100],"Feature":[101],"Recombination,":[102],"which":[103],"utilizes":[104],"Fast":[106],"Fourier":[107],"Transform":[108],"(FFT)":[109],"decompose":[111,126],"into":[113,129],"amplitude":[114],"phase":[116],"components.":[117],"Then":[118],"apply":[120],"Kolmogorov-Arnold":[122],"theorem":[123],"further":[125],"these":[127],"components":[128],"linear":[130],"combinations":[131],"base":[134],"Finally,":[136],"through":[137],"multi-level":[138],"recombination,":[139],"distributions,":[149],"effectively":[150],"emulating":[151],"deep":[152],"cross-domain":[153],"variations":[154],"levels":[157],"strengthening":[159],"model's":[161,203],"generalization":[162,204],"ability":[163],"domains.":[166],"Our":[167,212],"method":[168],"demonstrates":[169],"strong":[170],"adaptability":[171],"both":[173],"two-stage":[174],"single-stage":[176],"detection":[177,196],"frameworks.":[178],"Experimental":[179],"results":[180],"show":[181],"on":[183],"Diverse":[185],"Weather":[186],"Real-to-Art":[188],"benchmarks,":[189],"our":[190],"approach":[191],"not":[192],"only":[193],"achieves":[194],"outstanding":[195],"accuracy":[197],"but":[198],"also":[199],"significantly":[200],"enhances":[201],"ability,":[205],"all":[206],"while":[207],"maintaining":[208],"excellent":[209],"real-time":[210],"performance.":[211],"code":[213],"available":[215],"at":[216],"https://github.com/2490o/Fourier-KAN.":[217]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-13T00:00:00"}
