{"id":"https://openalex.org/W4415743970","doi":"https://doi.org/10.1109/qrs-c65679.2025.00085","title":"GA-FusionNet: Global adaptive fusion network for RGBT tracking","display_name":"GA-FusionNet: Global adaptive fusion network for RGBT tracking","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4415743970","doi":"https://doi.org/10.1109/qrs-c65679.2025.00085"},"language":null,"primary_location":{"id":"doi:10.1109/qrs-c65679.2025.00085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","raw_type":"proceedings-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/A5108570695","display_name":"Jiayan Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiafeng Lv","raw_affiliation_strings":["Wuhan Textile University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030920620","display_name":"Ruiqi Luo","orcid":"https://orcid.org/0000-0002-1806-7452"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Luo","raw_affiliation_strings":["Wuhan Textile University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088434188","display_name":"Hanrui Chen","orcid":"https://orcid.org/0009-0009-4072-0153"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxi Chen","raw_affiliation_strings":["Wuhan Textile University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069546592","display_name":"Shu Miao","orcid":"https://orcid.org/0000-0002-0286-2507"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuting Miao","raw_affiliation_strings":["Wuhan Textile University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423697","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0002-7241-3483"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["Wuhan Textile University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108570695"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3424313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8271999955177307,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8271999955177307,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.03240000084042549,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/weighting","display_name":"Weighting","score":0.6359999775886536},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5985999703407288},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5630000233650208},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5126000046730042},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5033000111579895},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4174000024795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667900025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6388999819755554},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6359999775886536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5985999703407288},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5630000233650208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5551000237464905},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3797999918460846},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.2597000002861023},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qrs-c65679.2025.00085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2565639579","https://openalex.org/W2963905288","https://openalex.org/W3002567850","https://openalex.org/W3101990647","https://openalex.org/W3110562975","https://openalex.org/W3183152796","https://openalex.org/W3183904268","https://openalex.org/W4214759957","https://openalex.org/W4283808043","https://openalex.org/W4286974493","https://openalex.org/W4304098539","https://openalex.org/W4312668764","https://openalex.org/W4321195219","https://openalex.org/W4360862170","https://openalex.org/W4380884766","https://openalex.org/W4386075603","https://openalex.org/W4386075647","https://openalex.org/W4386083135","https://openalex.org/W4387969861","https://openalex.org/W4393148493","https://openalex.org/W4393154017","https://openalex.org/W4393154934","https://openalex.org/W4394620593","https://openalex.org/W4402727444","https://openalex.org/W4402753948","https://openalex.org/W4402754150"],"related_works":[],"abstract_inverted_index":{"RGB-T":[0],"(infrared":[1],"and":[2,28,81],"visible":[3],"light)":[4],"target":[5],"tracking":[6,19,146,153],"holds":[7],"significant":[8],"application":[9],"value,":[10],"particularly":[11],"under":[12],"varying":[13],"lighting":[14],"conditions.":[15],"However,":[16],"existing":[17],"RGBT":[18,145],"methods":[20,46],"often":[21],"employ":[22],"fixed":[23,109],"fusion":[24,78],"structures":[25],"for":[26],"RGB":[27,80],"TIR":[29,82],"modalities,":[30],"which":[31],"lack":[32],"a":[33,69,132],"dynamic":[34],"weighting":[35],"mechanism,":[36],"leading":[37],"to":[38,53,90,118,156],"suboptimal":[39],"utilization":[40],"of":[41],"multimodal":[42,54],"information.":[43],"Furthermore,":[44],"these":[45,64],"frequently":[47],"overlook":[48],"the":[49,119,138],"multi-scale":[50,134],"information":[51],"inherent":[52],"tracking,":[55],"resulting":[56],"in":[57],"insufficient":[58],"interaction":[59],"between":[60,79],"modalities.":[61,83],"To":[62],"address":[63],"limitations,":[65],"this":[66],"paper":[67],"proposes":[68],"Global":[70,98],"Adaptive":[71,99],"Fusion":[72,100],"Network":[73],"(GA-FusionNet),":[74],"enabling":[75],"adaptive":[76],"feature":[77,106],"The":[84,121],"approach":[85],"utilizes":[86],"frozen,":[87],"pre-trained":[88],"encoders":[89],"extract":[91],"features":[92,123],"from":[93],"each":[94,125],"modality":[95],"independently.":[96],"A":[97],"module":[101],"(GA-FusionNet)":[102],"dynamically":[103],"generates":[104],"modality-specific":[105],"weights":[107,114],"within":[108],"encoding":[110],"layers,":[111],"ensuring":[112],"that":[113,149],"are":[115,127],"adaptively":[116],"adjusted":[117],"scene.":[120],"fused":[122],"at":[124],"layer":[126],"integrated":[128],"via":[129],"concatenation,":[130],"forming":[131],"comprehensive":[133],"representation,":[135],"thereby":[136],"enhancing":[137],"model\u2019s":[139],"generalization":[140],"capability.":[141],"Experimental":[142],"results":[143],"on":[144],"datasets":[147],"demonstrate":[148],"GA-FusionNet":[150],"achieves":[151],"superior":[152],"performance":[154],"compared":[155],"state-of-the-art":[157],"methods.":[158]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-31T00:00:00"}