{"id":"https://openalex.org/W4416213878","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229255","title":"MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection","display_name":"MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416213878","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229255"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5102020226","display_name":"Hang Yang","orcid":"https://orcid.org/0000-0002-8023-4661"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yang","raw_affiliation_strings":["Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349835","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0001-8151-4326"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041712546","display_name":"Wenchao Weng","orcid":"https://orcid.org/0000-0002-9677-3213"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Weng","raw_affiliation_strings":["Zhejiang University of Technology,Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I168879160","https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042276536","display_name":"Weichen Dai","orcid":"https://orcid.org/0000-0002-5019-2755"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichen Dai","raw_affiliation_strings":["Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Polish Academy of Science,System Research Institute,Warsaw,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polish Academy of Science,System Research Institute,Warsaw,Poland","institution_ids":["https://openalex.org/I66083562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003649465","display_name":"Wanzeng Kong","orcid":"https://orcid.org/0000-0002-0113-6968"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzeng Kong","raw_affiliation_strings":["Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":0.31796873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.6717000007629395,"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":0.6717000007629395,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.25130000710487366,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.012500000186264515,"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/feature","display_name":"Feature (linguistics)","score":0.6251999735832214},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5486000180244446},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5446000099182129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5270000100135803},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.525600016117096},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5138999819755554},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4966000020503998},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.46619999408721924},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4587000012397766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627999782562256},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6251999735832214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6061999797821045},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5486000180244446},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5138999819755554},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4966000020503998},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.43790000677108765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4307999908924103},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42829999327659607},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.3246000111103058},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1496462336","https://openalex.org/W2031342017","https://openalex.org/W2031489346","https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2149466042","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2884561390","https://openalex.org/W2952122856","https://openalex.org/W2955889502","https://openalex.org/W2962793481","https://openalex.org/W2962823940","https://openalex.org/W2963037989","https://openalex.org/W2963730616","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W2987385519","https://openalex.org/W2998216033","https://openalex.org/W2999759184","https://openalex.org/W3034779842","https://openalex.org/W3034937575","https://openalex.org/W3035175896","https://openalex.org/W3093357657","https://openalex.org/W3096831136","https://openalex.org/W3107610277","https://openalex.org/W3110011650","https://openalex.org/W3111248667","https://openalex.org/W3129242782","https://openalex.org/W3165113810","https://openalex.org/W4213022485","https://openalex.org/W4225787349","https://openalex.org/W4291910378","https://openalex.org/W4319300373","https://openalex.org/W4384304527","https://openalex.org/W4385338661","https://openalex.org/W4386047746","https://openalex.org/W4391164438","https://openalex.org/W4392251648","https://openalex.org/W4402916164"],"related_works":[],"abstract_inverted_index":{"Based":[0],"on":[1,118,158,165],"adversarial":[2],"training":[3],"and":[4,25,50,80],"hierarchical":[5],"alignment":[6,28,31,44,49,88,134],"structure,":[7],"domain":[8,167],"adaptive":[9],"object":[10],"detection":[11],"methods":[12,20],"have":[13],"made":[14],"impressive":[15],"progress.":[16],"However,":[17],"current":[18],"adaptation":[19,140],"treats":[21],"each":[22],"feature":[23],"equally,":[24],"exerts":[26],"unchanged":[27],"strength":[29,135],"during":[30,137],"process,":[32],"without":[33],"sufficiently":[34],"considering":[35],"the":[36,63,73,87,107,125,133,138,159,180],"transferability":[37,74],"inconsistency":[38],"of":[39,75,109,127,182],"different":[40,84,95,112],"features.":[41],"Such":[42],"static":[43],"can":[45],"only":[46],"achieve":[47,151],"approximate":[48],"will":[51],"bring":[52],"about":[53],"negative":[54],"transfer":[55,168],"eventually.":[56],"To":[57],"address":[58],"these":[59],"issues,":[60],"we":[61,130],"propose":[62],"Multi-Perspective":[64],"Feature":[65],"Dynamic":[66],"Adaptation":[67],"Network":[68],"(MPFDAN).":[69],"In":[70],"this":[71],"network,":[72],"features":[76,110],"is":[77,103,148],"thoroughly":[78],"considered":[79],"utilized":[81],"from":[82,124],"three":[83],"perspectives,":[85],"allowing":[86],"process":[89,141],"to":[90,105,115,142,150],"be":[91],"dynamically":[92,131,155],"adjusted":[93,156],"in":[94,111,161],"ways.":[96],"Firstly,":[97],"regarding":[98],"local":[99,113],"transferability,":[100],"Shannon":[101],"entropy":[102],"used":[104],"adjust":[106,132],"weights":[108],"regions":[114,119],"focus":[116],"more":[117],"with":[120],"higher":[121],"transferability.":[122,163],"Next,":[123],"perspective":[126],"global":[128],"alignment,":[129],"applied":[136],"image-level":[139],"avoid":[143],"overfitting.":[144],"Finally,":[145],"category":[146,162],"information":[147],"introduced":[149],"category-aware":[152],"instance-level":[153],"adaptation,":[154],"based":[157],"differences":[160],"Experiments":[164],"various":[166],"scenarios":[169],"demonstrate":[170],"that":[171],"our":[172,183],"MPFDAN":[173],"outperforms":[174],"all":[175],"compared":[176],"methods,":[177],"thereby":[178],"proving":[179],"effectiveness":[181],"proposed":[184],"approach.":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}
