{"id":"https://openalex.org/W4402187224","doi":"https://doi.org/10.1109/jstars.2024.3454054","title":"Multimodal Feature-Guided Pretraining for RGB-T Perception","display_name":"Multimodal Feature-Guided Pretraining for RGB-T Perception","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402187224","doi":"https://doi.org/10.1109/jstars.2024.3454054"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3454054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3454054","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3454054","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111365117","display_name":"Junlin Ouyang","orcid":"https://orcid.org/0000-0002-7876-3644"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junlin Ouyang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-7876-3644","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108823139","display_name":"Pengcheng Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Jin","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0003-8819-5059","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039540933","display_name":"Qingwang Wang","orcid":"https://orcid.org/0000-0001-5820-5357"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwang Wang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5820-5357","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111365117"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":6.4885,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97612978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"16041","last_page":"16050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9954000115394592,"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":0.6842905879020691},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6289929151535034},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5624461770057678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5520874261856079},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.46219971776008606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44458478689193726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4389282166957855},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4376108646392822},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1883767545223236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6842905879020691},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6289929151535034},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5624461770057678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5520874261856079},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.46219971776008606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44458478689193726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4389282166957855},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4376108646392822},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1883767545223236},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3454054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3454054","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf1b8e5e33d948039c20deb46e22562f","is_oa":true,"landing_page_url":"https://doaj.org/article/bf1b8e5e33d948039c20deb46e22562f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16041-16050 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3454054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3454054","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2555961084","display_name":null,"funder_award_id":"202302AG050009","funder_id":"https://openalex.org/F4320336602","funder_display_name":"Major Science and Technology Projects in Yunnan Province"}],"funders":[{"id":"https://openalex.org/F4320336602","display_name":"Major Science and Technology Projects in Yunnan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2344173806","https://openalex.org/W2774839435","https://openalex.org/W2921749009","https://openalex.org/W2963188557","https://openalex.org/W2963579094","https://openalex.org/W2964027659","https://openalex.org/W2964979676","https://openalex.org/W3116967329","https://openalex.org/W3206439726","https://openalex.org/W3207919963","https://openalex.org/W4224315825","https://openalex.org/W4226336958","https://openalex.org/W4226485547","https://openalex.org/W4285820630","https://openalex.org/W4295917908","https://openalex.org/W4312312750","https://openalex.org/W4312446817","https://openalex.org/W4312596062","https://openalex.org/W4312685069","https://openalex.org/W4313007055","https://openalex.org/W4313156423","https://openalex.org/W4313639507","https://openalex.org/W4318586183","https://openalex.org/W4327673055","https://openalex.org/W4366722712","https://openalex.org/W4367663172","https://openalex.org/W4384080543","https://openalex.org/W4386065698","https://openalex.org/W4386071873","https://openalex.org/W4386179772","https://openalex.org/W4386591405","https://openalex.org/W4387415351","https://openalex.org/W4388543795","https://openalex.org/W4389161285","https://openalex.org/W4390787329","https://openalex.org/W4390874131","https://openalex.org/W4390874379","https://openalex.org/W4391450838","https://openalex.org/W4392523614","https://openalex.org/W4392796741","https://openalex.org/W4394744721","https://openalex.org/W4395661451","https://openalex.org/W4400351525","https://openalex.org/W4400351828","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6756834165","https://openalex.org/W6784333009","https://openalex.org/W6789041250","https://openalex.org/W6839294089","https://openalex.org/W6850756771","https://openalex.org/W6856738047"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Wide-range":[0],"multiscale":[1],"object":[2,128],"detection":[3,129],"for":[4,24,51,104],"multispectral":[5],"scene":[6],"perception":[7,16,55,113],"from":[8,114],"a":[9,36,71,96,115],"drone":[10],"perspective":[11,117],"is":[12],"challenging.":[13],"Previous":[14],"RGB-T":[15,53],"methods":[17],"directly":[18],"use":[19],"backbone":[20],"pretrained":[21],"on":[22,125],"RGB":[23],"thermal":[25],"infrared":[26],"feature":[27,73,86,98],"extraction,":[28],"leading":[29],"to":[30,82,142],"unexpected":[31],"domain":[32,58],"shift.":[33],"We":[34,69,94,122],"propose":[35],"novel":[37],"multimodal":[38],"feature-guided":[39],"masked":[40],"reconstruction":[41],"pretraining":[42],"method,":[43],"named":[44],"M2FP,":[45,77],"aimed":[46],"at":[47],"learning":[48],"transferable":[49],"representations":[50,87],"drone-based":[52,120,127],"environmental":[54,112],"tasks":[56],"without":[57],"bias.":[59],"This":[60],"article":[61],"includes":[62],"two":[63,139],"key":[64],"innovations":[65],"as":[66],"follows.":[67],"1)":[68],"design":[70,95],"cross-modal":[72,85],"interaction":[74,99],"module":[75,102],"in":[76,118,155,161],"which":[78,108],"encourages":[79],"modality-specific":[80],"backbones":[81],"actively":[83],"learn":[84],"and":[88,100,132,159],"avoid":[89],"modality":[90],"bias":[91],"issues.":[92],"2)":[93],"global-aware":[97],"fusion":[101],"suitable":[103],"various":[105],"downstream":[106],"tasks,":[107,140],"enhances":[109],"the":[110,126,143],"model's":[111],"global":[116],"wide-range":[119],"scenes.":[121],"fine-tune":[123],"M2FP":[124,146],"dataset":[130,135],"(DroneVehicle)":[131],"semantic":[133],"segmentation":[134],"(Kust4K).":[136],"On":[137],"these":[138],"compared":[141],"second-best":[144],"methods,":[145],"achieves":[147],"state-of-the-art":[148],"performance,":[149],"with":[150],"an":[151],"improvement":[152],"of":[153],"1.8%":[154],"mean":[156,162],"average":[157],"precision":[158],"0.9%":[160],"intersection":[163],"over":[164],"union,":[165],"respectively.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
