{"id":"https://openalex.org/W4412536480","doi":"https://doi.org/10.1109/tmm.2025.3590915","title":"Single-Domain Generalized Object Detection With Frequency Whitening and Contrastive Learning","display_name":"Single-Domain Generalized Object Detection With Frequency Whitening and Contrastive Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412536480","doi":"https://doi.org/10.1109/tmm.2025.3590915"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3590915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3590915","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5044186852","display_name":"Xiaolong Guo","orcid":"https://orcid.org/0000-0002-2350-9964"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolong Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019927202","display_name":"Chengxu Liu","orcid":"https://orcid.org/0000-0001-8023-9465"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxu Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014825654","display_name":"Xueming Qian","orcid":"https://orcid.org/0000-0002-3173-6307"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Qian","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687092","display_name":"Zhixiao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhixiao Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","School of Computer Science and Engineering, Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063593393","display_name":"Xubin Feng","orcid":"https://orcid.org/0000-0003-4348-7632"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xubin Feng","raw_affiliation_strings":["Space Precision Measurement Laboratory, Xi&#x2019;an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019;an, China","Space Precision Measurement Laboratory, Xi&#x0027;an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Space Precision Measurement Laboratory, Xi&#x2019;an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Space Precision Measurement Laboratory, Xi&#x0027;an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051279430","display_name":"Yao Xue","orcid":"https://orcid.org/0000-0003-1162-1120"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Xue","raw_affiliation_strings":["School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044186852"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.1843,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82929563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"6805","last_page":"6818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9452000260353088,"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/T10057","display_name":"Face and Expression Recognition","score":0.9384999871253967,"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":0.829460620880127},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5797329545021057},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5760482549667358},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5564661622047424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5556815266609192},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48485812544822693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41146671772003174},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3918474316596985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38660287857055664},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3749440312385559},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10729476809501648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829460620880127},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5797329545021057},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5760482549667358},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5564661622047424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5556815266609192},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48485812544822693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41146671772003174},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3918474316596985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38660287857055664},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3749440312385559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10729476809501648},{"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/tmm.2025.3590915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3590915","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2056716515","https://openalex.org/W2108598243","https://openalex.org/W2146950091","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2475287302","https://openalex.org/W2798658180","https://openalex.org/W2884366600","https://openalex.org/W2939059980","https://openalex.org/W2952476201","https://openalex.org/W2963037989","https://openalex.org/W2963043696","https://openalex.org/W2965954137","https://openalex.org/W2979475574","https://openalex.org/W2979800489","https://openalex.org/W2981488580","https://openalex.org/W3034373371","https://openalex.org/W3035294798","https://openalex.org/W3035564946","https://openalex.org/W3083017137","https://openalex.org/W3169545167","https://openalex.org/W3180439858","https://openalex.org/W3183864931","https://openalex.org/W3195659354","https://openalex.org/W3207856632","https://openalex.org/W4214480085","https://openalex.org/W4220899212","https://openalex.org/W4226144843","https://openalex.org/W4304092618","https://openalex.org/W4312365264","https://openalex.org/W4312740566","https://openalex.org/W4312765682","https://openalex.org/W4312901297","https://openalex.org/W4312958254","https://openalex.org/W4312992184","https://openalex.org/W4322746835","https://openalex.org/W4362653147","https://openalex.org/W4385937850","https://openalex.org/W4386066146","https://openalex.org/W4386071531","https://openalex.org/W4386076274","https://openalex.org/W4390871738","https://openalex.org/W4390872932","https://openalex.org/W4391952636","https://openalex.org/W4393098163","https://openalex.org/W4399039818","https://openalex.org/W4402716350","https://openalex.org/W4402754037","https://openalex.org/W4402754155","https://openalex.org/W4402754250"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W4239098401","https://openalex.org/W2382480268","https://openalex.org/W1976518449","https://openalex.org/W2732837990","https://openalex.org/W2363366881","https://openalex.org/W4206198161","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Single-Domain":[0],"Generalization":[1],"Object":[2],"Detection":[3],"(Single-DGOD)":[4],"refers":[5],"to":[6,18,20,48,53,91,98,173,231],"training":[7],"a":[8,26,30,118,134,146,169,218],"model":[9,17],"with":[10,222],"only":[11],"one":[12],"source":[13],"domain,":[14],"enabling":[15],"the":[16,50,55,69,82,93,104,161,165,180,191,200,204,210,213,233],"generalize":[19],"any":[21],"unseen":[22],"domain.":[23],"For":[24],"instance,":[25],"detector":[27],"trained":[28],"on":[29,248],"sunny":[31,97],"daytime":[32],"dataset":[33],"should":[34],"also":[35],"perform":[36],"well":[37],"in":[38,65,86,179,203,237],"scenarios":[39],"such":[40],"as":[41,101],"rainy":[42],"nighttime.":[43],"The":[44],"main":[45],"challenge":[46],"is":[47,89],"improve":[49],"detector's":[51],"ability":[52],"learn":[54,92],"domain-invariant":[56,154],"representation":[57],"(DIR)":[58],"while":[59],"removing":[60,72,141],"domain-specific":[61,73,143,177],"information.":[62],"Recent":[63],"progress":[64],"Single-DGOD":[66,87],"has":[67],"demonstrated":[68],"efficacy":[70],"of":[71,133,164,220,235],"information":[74,144,155,178],"by":[75],"adjusting":[76,81],"feature":[77,84,148,166],"distributions.":[78],"Nonetheless,":[79],"simply":[80],"global":[83],"distribution":[85],"task":[88],"insufficient":[90],"potential":[94],"relationship":[95],"from":[96],"adverse":[99],"weather,":[100],"these":[102],"ignore":[103],"significant":[105],"domain":[106,185],"gaps":[107],"between":[108],"instances":[109],"across":[110,229],"different":[111,223],"weathers.":[112],"In":[113,128],"this":[114],"paper,":[115],"we":[116,189],"propose":[117],"novel":[119],"object":[120],"detection":[121],"method":[122,194,244],"for":[123,140,152,195],"more":[124],"robust":[125],"single-domain":[126],"generalization.":[127],"particular,":[129],"it":[130],"mainly":[131],"consists":[132],"frequency-aware":[135],"selective":[136],"whitening":[137,171],"module":[138,150],"(FSW)":[139],"redundant":[142,176],"and":[145,167,198,212,225],"contrastive":[147,227],"alignment":[149],"(CFA)":[151],"enhancing":[153],"among":[156,187],"instances.":[157],"Specially,":[158],"FSW":[159],"extracts":[160],"magnitude":[162],"spectrum":[163],"uses":[168],"group":[170],"loss":[172],"selectively":[174],"eliminate":[175,184],"magnitude.":[181],"To":[182],"further":[183],"differences":[186],"instances,":[188],"apply":[190],"style":[192],"transfer":[193],"data":[196,202],"augmentation":[197],"use":[199],"augmented":[201],"CFA":[205,207],"module.":[206],"formulates":[208],"both":[209],"original":[211],"augmentd":[214],"RoI":[215],"features":[216],"into":[217],"series":[219],"groups":[221],"categories,":[224],"utilizes":[226],"learning":[228,234],"them":[230],"facilitate":[232],"DIR":[236],"various":[238],"categories.":[239],"Experiments":[240],"show":[241],"that":[242],"our":[243],"achieves":[245],"favorable":[246],"performance":[247],"existing":[249],"standard":[250],"benchmarks.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-10-10T00:00:00"}
