{"id":"https://openalex.org/W3195555194","doi":"https://doi.org/10.1109/tgrs.2021.3106442","title":"Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images","display_name":"Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images","publication_year":2021,"publication_date":"2021-08-30","ids":{"openalex":"https://openalex.org/W3195555194","doi":"https://doi.org/10.1109/tgrs.2021.3106442","mag":"3195555194"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3106442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3106442","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":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2108.08063.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079232252","display_name":"Pourya Shamsolmoali","orcid":"https://orcid.org/0000-0002-0263-1661"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pourya Shamsolmoali","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["GIPSA-lab, Universit\u00e9 Grenoble Alpes, CNRS, Grenoble INP, 38000 Grenoble, France, and also with the Faculty of Electrical and Computer Engineering, University of Iceland, 101 Reykjavik, Iceland"],"affiliations":[{"raw_affiliation_string":"GIPSA-lab, Universit\u00e9 Grenoble Alpes, CNRS, Grenoble INP, 38000 Grenoble, France, and also with the Faculty of Electrical and Computer Engineering, University of Iceland, 101 Reykjavik, Iceland","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009550171","display_name":"Masoumeh Zareapoor","orcid":"https://orcid.org/0000-0002-3991-0584"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Masoumeh Zareapoor","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester LE1 7RH, U.K"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester LE1 7RH, U.K","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: jieyang@sjtu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: jieyang@sjtu.edu.cn)","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079232252"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1263,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48821329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.9984999895095825,"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/discriminative-model","display_name":"Discriminative model","score":0.7726861238479614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708035945892334},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6709679961204529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6639994382858276},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6325823068618774},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5995712280273438},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5432243943214417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5134590268135071},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4914594888687134},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4497803747653961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4346485435962677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16411978006362915}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7726861238479614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708035945892334},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6709679961204529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6639994382858276},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6325823068618774},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5995712280273438},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5432243943214417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5134590268135071},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4914594888687134},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4497803747653961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4346485435962677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16411978006362915},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tgrs.2021.3106442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3106442","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"},{"id":"mag:3195555194","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2108.08063.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03932256v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03932256","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9524844","raw_type":"Journal articles"},{"id":"pmh:oai:figshare.com:article/15186348","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Multi-patch_Feature_Pyramid_Network_for_Weakly_Supervised_Object_Detection_in_Optical_Remote_Sensing_Images/15186348","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2108.08063","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.08063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:3195555194","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2108.08063.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G6097606922","display_name":null,"funder_award_id":"U1803261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7523228654","display_name":null,"funder_award_id":"61876107","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2013081398","https://openalex.org/W2015780366","https://openalex.org/W2031489346","https://openalex.org/W2062118960","https://openalex.org/W2088049833","https://openalex.org/W2101104841","https://openalex.org/W2106401878","https://openalex.org/W2183182206","https://openalex.org/W2194775991","https://openalex.org/W2245000483","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2604260814","https://openalex.org/W2623412144","https://openalex.org/W2625894731","https://openalex.org/W2745023888","https://openalex.org/W2755992512","https://openalex.org/W2769613401","https://openalex.org/W2797706457","https://openalex.org/W2798748179","https://openalex.org/W2800388963","https://openalex.org/W2884419823","https://openalex.org/W2909102496","https://openalex.org/W2927122915","https://openalex.org/W2952072685","https://openalex.org/W2952565170","https://openalex.org/W2953303055","https://openalex.org/W2957667237","https://openalex.org/W2962749812","https://openalex.org/W2963603913","https://openalex.org/W2963857746","https://openalex.org/W2963952323","https://openalex.org/W2964121744","https://openalex.org/W2964444661","https://openalex.org/W2965521953","https://openalex.org/W2965658867","https://openalex.org/W2966401131","https://openalex.org/W2967085153","https://openalex.org/W2976964318","https://openalex.org/W2994639710","https://openalex.org/W2999452014","https://openalex.org/W3010021382","https://openalex.org/W3022162718","https://openalex.org/W3034971973","https://openalex.org/W3047443805","https://openalex.org/W3047725879","https://openalex.org/W3048631361","https://openalex.org/W3101012758","https://openalex.org/W3102864715","https://openalex.org/W3103294617","https://openalex.org/W3128999341","https://openalex.org/W6631190155","https://openalex.org/W6966959677"],"related_works":["https://openalex.org/W3198879287","https://openalex.org/W2888975659","https://openalex.org/W3028729812","https://openalex.org/W3138960644","https://openalex.org/W3214677295","https://openalex.org/W3206765718","https://openalex.org/W3108602871","https://openalex.org/W2936000158","https://openalex.org/W2607600945","https://openalex.org/W25437484","https://openalex.org/W396735907","https://openalex.org/W2178303538","https://openalex.org/W2952618358","https://openalex.org/W3047725879","https://openalex.org/W1571154674","https://openalex.org/W2739393454","https://openalex.org/W3208303199","https://openalex.org/W3213959871","https://openalex.org/W3019200386","https://openalex.org/W2798715809"],"abstract_inverted_index":{"Object":[0],"detection":[1,80,105,235],"is":[2,172,241],"a":[3,13,120,124,166],"challenging":[4],"task":[5],"in":[6,16,55,67,144,153],"remote":[7],"sensing":[8],"because":[9,84],"objects":[10,40,83,107],"only":[11,138],"occupy":[12],"few":[14],"pixels":[15],"the":[17,20,33,39,56,71,79,86,92,104,115,132,140,146,155,162,175,179,188,201,206,221,238,245],"images,":[18],"and":[19,29,98,118,159,204,216],"models":[21,134],"are":[22,110,148,157],"required":[23],"to":[24,75,177,199,219,226,231],"simultaneously":[25],"learn":[26],"object":[27,61,184,234],"locations":[28],"detection.":[30],"Even":[31],"though":[32],"established":[34],"approaches":[35],"well":[36,102],"perform":[37,76],"for":[38,174,181,191],"of":[41,81,85,91,106,168,223],"regular":[42],"sizes,":[43],"they":[44],"achieve":[45,227],"weak":[46],"performance":[47],"when":[48],"analyzing":[49],"small":[50,82,183],"ones":[51],"or":[52],"getting":[53],"stuck":[54],"local":[57],"minima":[58],"(e.g.,":[59],"false":[60],"parts).":[62],"Two":[63],"possible":[64],"issues":[65,117],"stand":[66],"their":[68],"way.":[69],"First,":[70],"existing":[72],"methods":[73,94],"struggle":[74],"stably":[77],"on":[78,103,161],"complicated":[87],"background.":[88],"Second,":[89],"most":[90,141],"standard":[93],"used":[95],"handcrafted":[96],"features":[97,222],"do":[99],"not":[100],"work":[101],"parts":[108],"that":[109],"missing.":[111],"We":[112],"here":[113],"address":[114],"above":[116],"propose":[119],"new":[121],"architecture":[122,240],"with":[123],"multipatch":[125],"feature":[126,189],"pyramid":[127],"network":[128,213],"(MPFP-Net).":[129],"Different":[130],"from":[131],"current":[133],"that,":[135],"during":[136],"training,":[137],"pursue":[139],"discriminative":[142],"patches,":[143],"MPFP-Net,":[145],"patches":[147,156],"divided":[149],"into":[150],"class-affiliated":[151],"subsets,":[152],"which":[154],"related,":[158],"based":[160],"primary":[163],"loss":[164,170],"function,":[165],"sequence":[167],"smooth":[169],"functions":[171],"determined":[173],"subsets":[176],"improve":[178],"model":[180],"collecting":[182],"parts.":[185],"To":[186],"enhance":[187],"representation":[190],"patch":[192],"selection,":[193],"we":[194],"introduce":[195],"an":[196],"effective":[197],"method":[198],"regularize":[200],"residual":[202],"values":[203],"make":[205],"fusion":[207],"transition":[208],"layers":[209],"strictly":[210],"norm-preserving.":[211],"The":[212],"contains":[214],"bottom-up":[215],"crosswise":[217],"connections":[218],"fuse":[220],"different":[224],"scales":[225],"better":[228],"accuracy":[229],"compared":[230],"several":[232],"state-of-the-art":[233],"models.":[236],"Also,":[237],"developed":[239],"more":[242],"efficient":[243],"than":[244],"baselines.":[246]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}