{"id":"https://openalex.org/W3118043732","doi":"https://doi.org/10.1145/3430199.3430216","title":"Detection of Key Structure of Auroral Images Based on Weakly Supervised Learning","display_name":"Detection of Key Structure of Auroral Images Based on Weakly Supervised Learning","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3118043732","doi":"https://doi.org/10.1145/3430199.3430216","mag":"3118043732"},"language":"en","primary_location":{"id":"doi:10.1145/3430199.3430216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-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/A5100391080","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5906-1890"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Wang","raw_affiliation_strings":["School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030115723","display_name":"Tongxin Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongxin Xue","raw_affiliation_strings":["School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021066503","display_name":"Yi Wu","orcid":"https://orcid.org/0000-0002-2322-6825"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971382","display_name":"Fan Hu","orcid":"https://orcid.org/0000-0001-5876-0721"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Hu","raw_affiliation_strings":["School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027717082","display_name":"Pengfei Han","orcid":"https://orcid.org/0000-0003-3724-3551"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Han","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100391080"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.3531,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62748421,"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":"110","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.7234318256378174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6723844408988953},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6366611123085022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6306118369102478},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6129546761512756},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5946951508522034},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5497600436210632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5468111634254456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4953228533267975},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4851759076118469},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46879205107688904},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43189772963523865},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41836225986480713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32777464389801025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13012123107910156},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.057925134897232056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234318256378174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6723844408988953},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6366611123085022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6306118369102478},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6129546761512756},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5946951508522034},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5497600436210632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5468111634254456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4953228533267975},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4851759076118469},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46879205107688904},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43189772963523865},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41836225986480713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32777464389801025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13012123107910156},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.057925134897232056},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430199.3430216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","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":2,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2194775991"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2590472383","https://openalex.org/W2383873009","https://openalex.org/W2393580911","https://openalex.org/W2212184297","https://openalex.org/W3156456913","https://openalex.org/W2390945180","https://openalex.org/W2394052932","https://openalex.org/W2350360626","https://openalex.org/W2737552886"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1],"learning":[2,51],"is":[3,42,57,78,117],"of":[4,24,30,53,64,89,95,110,135,149],"interest":[5],"and":[6,87,139],"research":[7,29],"by":[8],"many":[9],"people":[10],"due":[11],"to":[12,59],"the":[13,21,28,49,61,65,71,75,81,84,96,106,122,130,136,146,150],"large":[14],"savings":[15],"in":[16,27,124],"labeling":[17,26],"costs.":[18],"To":[19],"solve":[20],"high":[22],"cost":[23],"manual":[25],"aurora":[31,39,72],"image":[32,40,98],"detection,":[33],"an":[34,141],"Aurora":[35],"multi-scale":[36,76],"network":[37,68,82],"for":[38],"dataset":[41],"proposed":[43],"based":[44,69,113],"on":[45,70,80,114,145],"weakly-supervised":[46],"learning.":[47],"Firstly,":[48],"feature":[50],"mechanism":[52],"dynamic":[54],"hierarchical":[55],"mimicking":[56],"adopted":[58],"improve":[60,129],"classification":[62],"performance":[63],"convolutional":[66],"neural":[67],"image.":[73,152],"Then,":[74],"constraint":[77],"imposed":[79],"through":[83],"multi-branch":[85],"input":[86],"output":[88,94],"different":[90],"sizes.":[91],"The":[92],"final":[93],"auroral":[97,111,137,151],"class":[99,131],"activation":[100,132],"maps":[101,133],"with":[102],"more":[103],"ideal":[104,142],"results,":[105],"critical":[107],"structure":[108,148],"detection":[109,143],"images":[112],"imagelevel":[115],"annotation":[116],"realized.":[118],"Experiments":[119],"show":[120],"that":[121],"algorithm":[123],"this":[125],"paper":[126],"can":[127],"effectively":[128],"results":[134],"image,":[138],"has":[140],"effect":[144],"vital":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}