{"id":"https://openalex.org/W4411171980","doi":"https://doi.org/10.1109/tgrs.2025.3578515","title":"LSCF: Long-Term Semantic-Guidance ConvFormer for Referring Remote Sensing Image Segmentation","display_name":"LSCF: Long-Term Semantic-Guidance ConvFormer for Referring Remote Sensing Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411171980","doi":"https://doi.org/10.1109/tgrs.2025.3578515"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3578515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3578515","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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":"https://openalex.org/A5102087640","display_name":"Qin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0006-3446-1122","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6130-2518","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051108735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0003-0338-7645"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-0338-7645","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5669-9354","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065027008","display_name":"Wenping Ma","orcid":"https://orcid.org/0000-0001-8872-2195"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8872-2195","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-8780-5455","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716513","display_name":"Long Sun","orcid":"https://orcid.org/0000-0001-7446-9336"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7446-9336","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.0621,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91731826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9961000084877014,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9878000020980835,"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":0.9843000173568726,"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":0.7301605939865112},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7209157943725586},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6261922121047974},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5518912076950073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5450459122657776},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5247659683227539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080699920654297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.438912957906723},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2456573247909546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301605939865112},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7209157943725586},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6261922121047974},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5518912076950073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5450459122657776},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5247659683227539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080699920654297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.438912957906723},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2456573247909546},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3578515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3578515","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1741041753","display_name":null,"funder_award_id":"U22B2054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G360022451","display_name":null,"funder_award_id":"62276201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3960429886","display_name":null,"funder_award_id":"62276199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7139864297","display_name":null,"funder_award_id":"IRT 15R53","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8929578879","display_name":null,"funder_award_id":"62076192","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"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2250539671","https://openalex.org/W2302548814","https://openalex.org/W2605127024","https://openalex.org/W2798556392","https://openalex.org/W2876852810","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2962858109","https://openalex.org/W2964345792","https://openalex.org/W2979826702","https://openalex.org/W2980088508","https://openalex.org/W2987185654","https://openalex.org/W3004019157","https://openalex.org/W3008439211","https://openalex.org/W3011189840","https://openalex.org/W3034325957","https://openalex.org/W3034328552","https://openalex.org/W3034692043","https://openalex.org/W3093025045","https://openalex.org/W3096609285","https://openalex.org/W3108748824","https://openalex.org/W3122239467","https://openalex.org/W3138516171","https://openalex.org/W3159993994","https://openalex.org/W3169998662","https://openalex.org/W3172522282","https://openalex.org/W3178075329","https://openalex.org/W3201770677","https://openalex.org/W3216551675","https://openalex.org/W4200631575","https://openalex.org/W4294170691","https://openalex.org/W4310553620","https://openalex.org/W4312325112","https://openalex.org/W4312543911","https://openalex.org/W4313525589","https://openalex.org/W4320018395","https://openalex.org/W4322707256","https://openalex.org/W4323897048","https://openalex.org/W4367721790","https://openalex.org/W4378965865","https://openalex.org/W4384519088","https://openalex.org/W4385245566","https://openalex.org/W4385453578","https://openalex.org/W4385574797","https://openalex.org/W4385764483","https://openalex.org/W4385945233","https://openalex.org/W4386003541","https://openalex.org/W4386076034","https://openalex.org/W4386076148","https://openalex.org/W4386108423","https://openalex.org/W4386322129","https://openalex.org/W4387969771","https://openalex.org/W4389371459","https://openalex.org/W4390871886","https://openalex.org/W4390873076","https://openalex.org/W4390873170","https://openalex.org/W4390873528","https://openalex.org/W4390873641","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4391130239","https://openalex.org/W4392397297","https://openalex.org/W4392449449","https://openalex.org/W4392796515","https://openalex.org/W4399837196","https://openalex.org/W4401879614","https://openalex.org/W4402352155","https://openalex.org/W4402702940","https://openalex.org/W4402703023","https://openalex.org/W4402727260","https://openalex.org/W4403444411","https://openalex.org/W4404939789","https://openalex.org/W4405787134","https://openalex.org/W4406611022","https://openalex.org/W4407690744","https://openalex.org/W4408792032","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6770750215","https://openalex.org/W6784094891","https://openalex.org/W6791353385","https://openalex.org/W6797399245","https://openalex.org/W6798837711","https://openalex.org/W6811013733","https://openalex.org/W6869661489","https://openalex.org/W6872855386"],"related_works":["https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W3197510923","https://openalex.org/W2121524756","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Referring":[0],"Remote":[1],"Sensing":[2],"Image":[3],"Segmentation":[4],"(RRSIS)":[5],"task":[6],"aims":[7],"to":[8,108,138],"generate":[9],"segmentation":[10],"masks":[11],"for":[12],"target":[13,49],"objects":[14],"based":[15],"on":[16,149,194],"language":[17],"descriptions.":[18],"It":[19],"requires":[20],"precise":[21],"localization":[22],"while":[23,190],"distinguishing":[24],"between":[25],"visually":[26],"similar":[27,48],"yet":[28],"semantically":[29],"distinct":[30],"objects.":[31],"Fusing":[32],"vision-language":[33,141],"features":[34,90,101],"only":[35],"during":[36],"extraction":[37],"causes":[38],"information":[39],"loss":[40],"and":[41,64,143,153,165,167,173,187,196,199],"semantic":[42,124,145],"forgetting":[43],"in":[44,135],"the":[45,68,79,93,103,113,127,136,150,180],"decoder,":[46],"harming":[47],"distinction.":[50],"Additionally,":[51],"high-resolution":[52],"remote":[53],"sensing":[54],"images":[55],"present":[56],"challenges,":[57],"including":[58],"complex":[59],"backgrounds,":[60],"diverse":[61],"object":[62],"scales,":[63],"intricate":[65],"boundaries,":[66],"limiting":[67],"effectiveness":[69],"of":[70,162,170],"previous":[71],"methods.":[72],"To":[73],"address":[74],"these":[75],"issues,":[76],"we":[77,86],"propose":[78],"Long-term":[80],"Semantic-guidance":[81],"ConvFormer":[82],"(LSCF)":[83],"Network.":[84],"First,":[85],"fuse":[87],"multi-receptive-field":[88],"local":[89],"extracted":[91],"by":[92,184],"Multi-scale":[94],"CoordConv":[95],"(MCC)":[96],"module":[97,107,117,132],"with":[98],"language-aware":[99],"global":[100],"from":[102],"Cross-modal":[104],"Attention":[105,115],"(CA)":[106],"obtain":[109],"multi-modal":[110],"representations.":[111],"Second,":[112],"Sampling":[114],"(SA)":[116],"enables":[118],"fine-grained":[119],"vision":[120],"context":[121],"alignment":[122,142],"under":[123],"guidance.":[125],"Finally,":[126],"Global":[128],"Language":[129],"Fusion":[130],"(GLF)":[131],"is":[133],"incorporated":[134],"decoder":[137],"maintain":[139],"long-term":[140],"mitigate":[144],"degradation.":[146],"Experimental":[147],"validation":[148],"RefSegRS,":[151,177],"RRSIS-D,":[152],"RISBench":[154],"datasets":[155],"demonstrates":[156],"that":[157],"LSCF":[158,178],"achieves":[159],"oIoU":[160],"scores":[161,169],"83.27%,":[163],"77.42%,":[164],"74.88%,":[166],"mIoU":[168],"77.44%,":[171],"64.25%,":[172],"68.53%,":[174],"respectively.":[175],"On":[176],"surpasses":[179],"SOTA":[181],"method":[182],"FIANet":[183],"5.53%":[185],"(oIoU)":[186],"9.58%":[188],"(mIoU),":[189],"delivering":[191],"competitive":[192],"performance":[193],"RRSIS-D":[195],"RISBench.":[197],"Code":[198],"experimental":[200],"configurations":[201],"will":[202],"be":[203],"released.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}