{"id":"https://openalex.org/W7104912660","doi":"https://doi.org/10.1109/tii.2025.3621012","title":"DA-MFT: Unsupervised Multiple Fish Tracking Framework Based on Domain Adaptation","display_name":"DA-MFT: Unsupervised Multiple Fish Tracking Framework Based on Domain Adaptation","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7104912660","doi":"https://doi.org/10.1109/tii.2025.3621012"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3621012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3621012","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":null,"display_name":"Yeqiang Liu","orcid":"https://orcid.org/0000-0002-5434-3223"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yeqiang Liu","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weiran Li","orcid":"https://orcid.org/0000-0002-8423-1214"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiran Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenxu Wang","orcid":"https://orcid.org/0000-0001-7493-1324"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxu Wang","raw_affiliation_strings":["College of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mina Han","orcid":"https://orcid.org/0000-0001-7075-9766"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mina Han","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xue Liu","orcid":"https://orcid.org/0000-0002-1820-4699"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhenbo Li","orcid":"https://orcid.org/0000-0003-2914-1192"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbo Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55466149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"1062","last_page":"1073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.8672000169754028,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.8672000169754028,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.013199999928474426,"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":0.012500000186264515,"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/exploit","display_name":"Exploit","score":0.5896000266075134},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5250999927520752},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49239999055862427},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47839999198913574},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.447299987077713},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4424999952316284},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4359000027179718},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43130001425743103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788100004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6879000067710876},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5896000266075134},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5194000005722046},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43130001425743103},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4189000129699707},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3621012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3621012","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":40,"referenced_works":["https://openalex.org/W2968634921","https://openalex.org/W2977464309","https://openalex.org/W3009419647","https://openalex.org/W3038955748","https://openalex.org/W3084173793","https://openalex.org/W3095753995","https://openalex.org/W3119686997","https://openalex.org/W3158715390","https://openalex.org/W3167949052","https://openalex.org/W3193979638","https://openalex.org/W4225307988","https://openalex.org/W4229052888","https://openalex.org/W4286904999","https://openalex.org/W4310467366","https://openalex.org/W4312473433","https://openalex.org/W4312619242","https://openalex.org/W4312775058","https://openalex.org/W4319865683","https://openalex.org/W4319866011","https://openalex.org/W4381163586","https://openalex.org/W4382240009","https://openalex.org/W4385575022","https://openalex.org/W4386076204","https://openalex.org/W4386590375","https://openalex.org/W4387802577","https://openalex.org/W4388157208","https://openalex.org/W4390654520","https://openalex.org/W4392543446","https://openalex.org/W4393153514","https://openalex.org/W4393906060","https://openalex.org/W4394585882","https://openalex.org/W4394597717","https://openalex.org/W4400146120","https://openalex.org/W4405934148","https://openalex.org/W4406753726","https://openalex.org/W4408259257","https://openalex.org/W4408347302","https://openalex.org/W4408860143","https://openalex.org/W4409595490","https://openalex.org/W4413156870"],"related_works":[],"abstract_inverted_index":{"Multiple":[0],"fish":[1,35,43,127,147],"tracking":[2,44,148,184,192],"(MFT)":[3],"represents":[4],"a":[5,89,116,137,159],"critical":[6],"computer":[7],"vision":[8],"task":[9],"that":[10,171],"underpins":[11],"behavioral":[12],"analysis":[13],"in":[14,34],"intelligent":[15],"monitoring":[16],"systems":[17],"for":[18,81],"smart":[19],"aquaculture":[20,157],"applications.":[21],"However,":[22],"captured":[23],"video":[24],"data":[25,102],"often":[26],"exhibit":[27],"highly":[28],"disparate":[29],"distributions":[30],"due":[31],"to":[32,94,124,142],"variations":[33],"species":[36],"characteristics":[37],"and":[38,65,145,166,189],"environmental":[39],"background":[40],"complexity.":[41],"Current":[42],"methodologies":[45],"frequently":[46],"rely":[47],"on":[48,98],"suboptimal":[49],"transfer":[50],"learning":[51,97],"from":[52],"pretrained":[53],"models,":[54],"while":[55],"existing":[56,175],"domain":[57,90,101],"adaptation":[58],"(DA)":[59],"techniques":[60],"inadequately":[61],"exploit":[62],"low-level":[63,105],"features":[64,128],"multiscale":[66,118],"instance-level":[67],"representations.":[68],"To":[69,150],"address":[70],"these":[71],"fundamental":[72],"limitations,":[73],"this":[74],"article":[75],"introduces":[76],"an":[77],"unsupervised":[78],"DA":[79],"framework":[80,86,134],"MFT":[82,162],"(DA-MFT).":[83],"The":[84,133],"proposed":[85],"first":[87],"employs":[88],"style":[91],"correction":[92],"module":[93],"enhance":[95],"feature":[96,106],"unlabeled":[99],"target":[100,111],"through":[103],"integrated":[104],"fusion,":[107],"thereby":[108],"facilitating":[109],"effective":[110],"domain-style":[112],"contextual":[113],"learning.":[114],"Subsequently,":[115],"novel":[117],"cross-head":[119],"alignment":[120],"block":[121],"is":[122],"developed":[123],"capture":[125],"domain-invariant":[126],"at":[129],"the":[130],"instance":[131],"level.":[132],"further":[135],"incorporates":[136],"deep":[138],"cascade":[139],"matching":[140],"strategy":[141],"achieve":[143],"robust":[144],"self-contained":[146],"capabilities.":[149],"comprehensively":[151],"evaluate":[152],"performance":[153,180],"across":[154],"diverse":[155],"industrial":[156],"scenarios,":[158],"specialized":[160],"domain-adapted":[161],"dataset":[163],"was":[164],"constructed":[165],"validated.":[167],"Experimental":[168],"results":[169],"demonstrate":[170],"DA-MFT":[172],"significantly":[173],"outperforms":[174],"state-of-the-art":[176],"methods,":[177],"achieving":[178],"superior":[179],"with":[181],"multiple":[182],"object":[183],"accuracy":[185,193],"scores":[186,194],"of":[187,195],"86.6%":[188],"higher":[190],"order":[191],"66.5%.":[196]},"counts_by_year":[],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2025-11-12T00:00:00"}
