{"id":"https://openalex.org/W4403721451","doi":"https://doi.org/10.1109/lsp.2024.3486113","title":"HF2TNet: A Hierarchical Fusion Two-Stage Training Network for Infrared and Visible Image Fusion","display_name":"HF2TNet: A Hierarchical Fusion Two-Stage Training Network for Infrared and Visible Image Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403721451","doi":"https://doi.org/10.1109/lsp.2024.3486113"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3486113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3486113","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":"Ting Lv","orcid":"https://orcid.org/0009-0008-9984-3521"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Lv","raw_affiliation_strings":["School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0008-9984-3521","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067162259","display_name":"Chuanming Ji","orcid":"https://orcid.org/0009-0001-5250-3983"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chuanming Ji","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Jiang","orcid":"https://orcid.org/0000-0001-5994-6595"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Jiang","raw_affiliation_strings":["School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5994-6595","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"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":"Yu Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2211-3535","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.3448,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60875394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"3164","last_page":"3168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9627000093460083,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6556775569915771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245167255401611},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5976071953773499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5964652895927429},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5304255485534668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5050488114356995},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4750511646270752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38733476400375366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3671610355377197},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10901877284049988},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09990459680557251}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6556775569915771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245167255401611},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5976071953773499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964652895927429},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5304255485534668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5050488114356995},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4750511646270752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38733476400375366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3671610355377197},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10901877284049988},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09990459680557251},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3486113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3486113","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4945367125","display_name":null,"funder_award_id":"62176081","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2963134949","https://openalex.org/W2998012573","https://openalex.org/W3011768656","https://openalex.org/W3030921250","https://openalex.org/W3035467948","https://openalex.org/W3039415429","https://openalex.org/W3046194589","https://openalex.org/W3107998196","https://openalex.org/W3166016280","https://openalex.org/W3197456663","https://openalex.org/W3201025429","https://openalex.org/W4220893768","https://openalex.org/W4224937218","https://openalex.org/W4285224173","https://openalex.org/W4286361941","https://openalex.org/W4296338129","https://openalex.org/W4308310215","https://openalex.org/W4312440143","https://openalex.org/W4312594135","https://openalex.org/W4312668764","https://openalex.org/W4312750622","https://openalex.org/W4313267411","https://openalex.org/W4313479110","https://openalex.org/W4313555022","https://openalex.org/W4367146915","https://openalex.org/W4367147113","https://openalex.org/W4386076504","https://openalex.org/W4386315034","https://openalex.org/W4389104698"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"In":[0,63,128],"the":[1,22,64,98,114,120,129,134,141,148],"field":[2],"of":[3,24,124],"infrared":[4,91,117,151],"and":[5,17,27,77,85,90,112,116,122,152,159,176],"visible":[6,89,115,153],"image":[7,187],"fusion,":[8],"current":[9],"algorithms":[10],"often":[11],"focus":[12],"on":[13,171],"complex":[14,180],"feature":[15,28,163],"extraction":[16],"sophisticated":[18],"fusion":[19,44,99],"mechanisms,":[20],"ignoring":[21],"issues":[23],"information":[25,33,57,158],"redundancy":[26],"imbalance.":[29],"These":[30,144],"limit":[31],"effective":[32,56],"aggregation.":[34],"To":[35],"address":[36],"these":[37],"issues,":[38],"this":[39],"paper":[40],"proposes":[41],"a":[42,47,60,68,102,161],"hierarchical":[43],"strategy":[45],"with":[46,147],"two-stage":[48],"training":[49,66],"network,":[50],"abbreviated":[51],"as":[52,137],"HF2TNet,":[53],"which":[54],"achieves":[55],"aggregation":[58],"in":[59,179,185],"staged":[61],"manner.":[62],"initial":[65],"stage,":[67,131],"three-stream":[69],"encoder-decoder":[70],"architecture":[71,81],"is":[72,107],"proposed,":[73],"seamlessly":[74],"integrating":[75],"CNN":[76],"transformer":[78],"modules.":[79],"This":[80],"extracts":[82],"both":[83],"global":[84],"local":[86],"features":[87,136,154],"from":[88],"images,":[92],"capturing":[93],"their":[94],"shared":[95],"attributes":[96],"before":[97],"process.":[100],"Moreover,":[101],"multi-shared":[103],"attention":[104],"module":[105],"(MSAM)":[106],"proposed":[108],"to":[109,155],"profoundly":[110],"reconstruct":[111],"augment":[113],"features,":[118],"ensuring":[119],"preservation":[121],"enhancement":[123],"details":[125],"across":[126],"modalities.":[127],"subsequent":[130],"HF2TNet":[132],"utilizes":[133],"pre-integrated":[135],"query":[138],"inputs":[139],"for":[140],"dual":[142],"MSAMs.":[143],"modules":[145],"interact":[146],"previously":[149],"reconstructed":[150],"enhance":[156],"complementary":[157],"ensure":[160],"balanced":[162],"fusion.":[164,188],"Experimental":[165],"results":[166],"indicate":[167],"HF2TNet's":[168],"superior":[169],"performance":[170],"standard":[172],"datasets":[173],"like":[174],"MSRS":[175],"TNO,":[177],"especially":[178],"scenes,":[181],"demonstrating":[182],"its":[183],"potential":[184],"multimodal":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}