{"id":"https://openalex.org/W2975740691","doi":"https://doi.org/10.1145/3349801.3349819","title":"PLFCN","display_name":"PLFCN","publication_year":2019,"publication_date":"2019-09-09","ids":{"openalex":"https://openalex.org/W2975740691","doi":"https://doi.org/10.1145/3349801.3349819","mag":"2975740691"},"language":"en","primary_location":{"id":"doi:10.1145/3349801.3349819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3349801.3349819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100435107","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0002-4465-7659"},"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":"Shuo Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024501453","display_name":"Wenrui Ding","orcid":"https://orcid.org/0000-0001-5490-4724"},"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":"Wenrui Ding","raw_affiliation_strings":["Unmanned System Research Institute, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914194","display_name":"Hongguang Li","orcid":"https://orcid.org/0000-0002-9386-8137"},"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":"Hongguang Li","raw_affiliation_strings":["Unmanned System Research Institute, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719418","display_name":"Chunlei Liu","orcid":"https://orcid.org/0000-0002-1138-7488"},"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":"Chunlei Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35992512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9991000294685364,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.8182566165924072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8031677603721619},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7184615135192871},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6065300703048706},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5931555032730103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322914719581604},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.5177102088928223},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4347504675388336},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4247209429740906},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4173647165298462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34800177812576294},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07989057898521423}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8182566165924072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031677603721619},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7184615135192871},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6065300703048706},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5931555032730103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322914719581604},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.5177102088928223},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4347504675388336},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4247209429740906},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4173647165298462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34800177812576294},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07989057898521423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/3349801.3349819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3349801.3349819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","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":30,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1923697677","https://openalex.org/W2100588357","https://openalex.org/W2124386111","https://openalex.org/W2155893237","https://openalex.org/W2342880667","https://openalex.org/W2412782625","https://openalex.org/W2480078828","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2591692311","https://openalex.org/W2609077090","https://openalex.org/W2612676323","https://openalex.org/W2618943282","https://openalex.org/W2757094569","https://openalex.org/W2765226977","https://openalex.org/W2778539913","https://openalex.org/W2793461576","https://openalex.org/W2798122215","https://openalex.org/W2798441115","https://openalex.org/W2804860796","https://openalex.org/W2963299740","https://openalex.org/W2963606038","https://openalex.org/W2963840672","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W1532075541","https://openalex.org/W2368026034","https://openalex.org/W2367777051","https://openalex.org/W3087014565","https://openalex.org/W1657914084","https://openalex.org/W2363964889","https://openalex.org/W257151485","https://openalex.org/W2157723036","https://openalex.org/W1582871225","https://openalex.org/W3081011809"],"abstract_inverted_index":{"In":[0,32],"the":[1,6,29,55,69,81,107,117,130,134,137,144,153],"field":[2],"of":[3,65,92,109,119],"remote":[4],"sensing,":[5],"semantic":[7,66,145],"segmentation":[8,146],"network":[9,44,56,82],"for":[10],"orthophotos":[11],"has":[12],"received":[13],"widely":[14],"attention.":[15],"However,":[16],"it":[17],"is":[18,103,126,148],"usually":[19],"impossible":[20],"to":[21,46,62,105,128],"achieve":[22],"high":[23,26,154],"accuracy":[24],"and":[25,113,123,132],"efficiency":[27,135],"at":[28,136],"same":[30,138],"time.":[31,139],"this":[33,48,93],"paper,":[34],"we":[35],"propose":[36],"a":[37],"novel":[38],"pyramid":[39,53,71,100],"loss":[40,72,101,125],"reinforced":[41],"fully":[42],"convolutional":[43],"(PLFCN)":[45],"address":[47],"issue.":[49],"By":[50],"introducing":[51],"deep":[52,114],"supervisions,":[54],"explores":[57],"multi-scale":[58],"spatial":[59],"context":[60],"information":[61],"improve":[63,129],"performance":[64,108,131,147],"segmentation.":[67],"And":[68],"auxiliary":[70,99,124],"structure":[73,102],"can":[74,83],"be":[75],"ignored":[76],"during":[77],"testing,":[78],"so":[79],"that":[80,143],"inference":[84],"as":[85,87,96,156],"fast":[86],"FCN.":[88,157],"The":[89,140],"main":[90],"contributions":[91],"paper":[94],"are":[95],"follows:":[97],"1)":[98],"proposed":[104],"enhance":[106],"FCN":[110],"by":[111],"multiscale":[112],"supervisions;":[115],"2)":[116],"advantages":[118],"multi":[120],"scale":[121],"structures":[122],"combined":[127],"maintain":[133],"results":[141],"show":[142],"significantly":[149],"improved,":[150],"while":[151],"achieves":[152],"effeciency":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-10-03T00:00:00"}