{"id":"https://openalex.org/W4383428387","doi":"https://doi.org/10.1109/tgrs.2023.3292919","title":"Multiscale Prototype Contrast Network for High-Resolution Aerial Imagery Semantic Segmentation","display_name":"Multiscale Prototype Contrast Network for High-Resolution Aerial Imagery Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383428387","doi":"https://doi.org/10.1109/tgrs.2023.3292919"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3292919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3292919","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/A5024164148","display_name":"Qixiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qixiong Wang","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China","School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072050541","display_name":"Xiaoyan Luo","orcid":"https://orcid.org/0000-0002-7256-4329"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Luo","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China","School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7256-4329","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101609903","display_name":"Jiaqi Feng","orcid":"https://orcid.org/0009-0005-4185-3856"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Feng","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China","School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-4185-3856","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001420166","display_name":"Guangyun Zhang","orcid":"https://orcid.org/0000-0003-2183-9553"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyun Zhang","raw_affiliation_strings":["Center of Remote Sensing, Nanjing Tech University, Nanjing, China","Center of Remote Sensing, Nanjing Tech University, NO.30 Puzhu Road(S), Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2183-9553","affiliations":[{"raw_affiliation_string":"Center of Remote Sensing, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"Center of Remote Sensing, Nanjing Tech University, NO.30 Puzhu Road(S), Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9916-6382","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068122673","display_name":"Jihao Yin","orcid":"https://orcid.org/0000-0002-6773-0193"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihao Yin","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China","School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6773-0193","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Beihang University 37 Xueyuan Road, Haidian Dist, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024164148"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.884,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87875545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8685229420661926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291742324829102},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.627902626991272},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4340742230415344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4267272651195526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42202863097190857},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4198080003261566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35595306754112244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8685229420661926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291742324829102},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.627902626991272},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4340742230415344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4267272651195526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42202863097190857},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4198080003261566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35595306754112244},{"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},{"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":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3292919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3292919","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":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4953530232","display_name":null,"funder_award_id":"41871240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7480179662","display_name":null,"funder_award_id":"2022ZD0117400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W205159212","https://openalex.org/W1677182931","https://openalex.org/W1875842236","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1963860205","https://openalex.org/W2122111042","https://openalex.org/W2151537585","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2474152637","https://openalex.org/W2520774990","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2565639579","https://openalex.org/W2601450892","https://openalex.org/W2605102252","https://openalex.org/W2890782586","https://openalex.org/W2940262938","https://openalex.org/W2946862972","https://openalex.org/W2955058313","https://openalex.org/W2962749812","https://openalex.org/W2962870549","https://openalex.org/W2963091558","https://openalex.org/W2963341924","https://openalex.org/W2964309882","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2990230185","https://openalex.org/W2990500698","https://openalex.org/W2990775046","https://openalex.org/W2991234496","https://openalex.org/W2993235622","https://openalex.org/W3018169007","https://openalex.org/W3030520226","https://openalex.org/W3034427230","https://openalex.org/W3034438741","https://openalex.org/W3035524453","https://openalex.org/W3044776120","https://openalex.org/W3109301572","https://openalex.org/W3109998321","https://openalex.org/W3122412340","https://openalex.org/W3138136606","https://openalex.org/W3138516171","https://openalex.org/W3168495321","https://openalex.org/W3170841864","https://openalex.org/W3183174367","https://openalex.org/W3184761517","https://openalex.org/W3205944634","https://openalex.org/W3213165621","https://openalex.org/W4205138939","https://openalex.org/W4205365435","https://openalex.org/W4214893857","https://openalex.org/W4285262444","https://openalex.org/W4288391265","https://openalex.org/W4292258096","https://openalex.org/W4312356452","https://openalex.org/W4312535423","https://openalex.org/W4312726009","https://openalex.org/W4312815172","https://openalex.org/W4385245566","https://openalex.org/W6608394925","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6739901393","https://openalex.org/W6754879843","https://openalex.org/W6761630670","https://openalex.org/W6778485988","https://openalex.org/W6798837711"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W3147584709","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2977677679","https://openalex.org/W2113201962","https://openalex.org/W1992327129","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,28],"of":[2,12,72,132,139,154],"high-resolution":[3],"aerial":[4,90],"images":[5],"is":[6,59,118,163],"a":[7,35,52,94,112],"challenging":[8],"task":[9],"on":[10,144],"account":[11],"complex":[13],"scene-variation":[14],"and":[15,49,75,84,135,152],"large":[16,87],"scale-difference.":[17],"However,":[18],"these":[19,101],"two":[20],"issues":[21],"are":[22],"inadequately":[23],"addressed":[24],"in":[25,89],"general":[26],"semantic":[27],"methods.":[29,160],"In":[30],"this":[31],"paper,":[32],"we":[33,92],"propose":[34],"Multi-scale":[36],"Prototype":[37],"Contrast":[38],"Network":[39],"(MPCNet)":[40],"to":[41,61,99,120],"improve":[42],"the":[43,86,107,137,150],"adaptive":[44],"capability":[45],"for":[46],"different":[47],"scenes":[48],"scales.":[50],"Specifically,":[51],"novel":[53,113],"multi-scale":[54,95,102,108,114],"prototype":[55,96,109,115],"transformer":[56],"decoder":[57],"(MPTD)":[58],"designed":[60],"extract":[62],"dynamic":[63],"scene-specific":[64],"prototypes":[65,103],"as":[66],"pixel":[67],"classifier":[68],"by":[69],"fusing":[70],"information":[71,83],"feature":[73,123,134],"maps":[74],"learnable":[76],"class":[77],"tokens.":[78],"To":[79],"exploit":[80],"cross-scene":[81],"context":[82],"accommodate":[85],"scale-difference":[88],"image,":[91],"build":[93],"memory":[97,110],"queue":[98],"store":[100],"during":[104],"training.":[105],"Upon":[106],"queue,":[111],"contrastive":[116],"loss":[117],"proposed":[119],"increase":[121],"object":[122],"discriminability":[124],"across":[125],"multiple":[126],"scale,":[127],"which":[128],"brings":[129],"better":[130],"consistency":[131],"intermediate":[133],"boosts":[136],"convergence":[138],"network.":[140],"Extensive":[141],"experimental":[142],"results":[143],"three":[145],"publicly":[146],"available":[147,164],"datasets":[148],"demonstrate":[149],"effectiveness":[151],"efficiency":[153],"our":[155],"MPCNet":[156],"over":[157],"other":[158],"state-of-the-art":[159],"The":[161],"code":[162],"at":[165],"https://github.com/qixiong-wang/mmsegmentation-mpcnet.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}