{"id":"https://openalex.org/W4385767711","doi":"https://doi.org/10.24963/ijcai.2023/531","title":"Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images","display_name":"Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767711","doi":"https://doi.org/10.24963/ijcai.2023/531"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/531","pdf_url":"https://www.ijcai.org/proceedings/2023/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0531.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081973679","display_name":"Marzieh Haghighi","orcid":null},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marzieh Haghighi","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024294809","display_name":"M\u00e1rio Costa Cruz","orcid":"https://orcid.org/0000-0003-0362-1323"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario C. Cruz","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031717685","display_name":"Erin Weisbart","orcid":"https://orcid.org/0000-0002-6437-2458"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Weisbart","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038979216","display_name":"Beth A. Cimini","orcid":"https://orcid.org/0000-0001-9640-9318"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beth A. Cimini","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044185748","display_name":"Avtar Singh","orcid":"https://orcid.org/0000-0001-7526-6813"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avtar Singh","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076501714","display_name":"Julia Bauman","orcid":"https://orcid.org/0000-0001-9488-529X"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia Bauman","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030335380","display_name":"Mar\u00eda E. Lozada","orcid":null},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria E. Lozada","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092362798","display_name":"Sanam L. Kavari","orcid":null},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanam L. Kavari","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054397595","display_name":"James T. Neal","orcid":"https://orcid.org/0000-0002-3962-8570"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James T. Neal","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024611841","display_name":"Paul C. Blainey","orcid":"https://orcid.org/0000-0002-4889-8783"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul C. Blainey","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052473265","display_name":"Anne E. Carpenter","orcid":"https://orcid.org/0000-0003-1555-8261"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anne E. Carpenter","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071122261","display_name":"Shantanu Singh","orcid":"https://orcid.org/0000-0003-3150-3025"},"institutions":[{"id":"https://openalex.org/I107606265","display_name":"Broad Institute","ror":"https://ror.org/05a0ya142","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I107606265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shantanu Singh","raw_affiliation_strings":["Broad Institute of MIT and Harvard","Broad Institute of MIT and Harvard, USA"],"affiliations":[{"raw_affiliation_string":"Broad Institute of MIT and Harvard","institution_ids":["https://openalex.org/I107606265"]},{"raw_affiliation_string":"Broad Institute of MIT and Harvard, USA","institution_ids":["https://openalex.org/I107606265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5081973679"],"corresponding_institution_ids":["https://openalex.org/I107606265"],"apc_list":null,"apc_paid":null,"fwci":0.3162,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63908628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4775","last_page":"4784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11393","display_name":"Biosensors and Analytical Detection","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7598633766174316},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6948035955429077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.62128084897995},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5911607146263123},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567712664604187},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5464308857917786},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5387516617774963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48362886905670166},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4832347333431244},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.43453067541122437},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42967894673347473},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33631765842437744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31553345918655396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598633766174316},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6948035955429077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62128084897995},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5911607146263123},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567712664604187},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5464308857917786},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5387516617774963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48362886905670166},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4832347333431244},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.43453067541122437},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42967894673347473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33631765842437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31553345918655396},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/531","pdf_url":"https://www.ijcai.org/proceedings/2023/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/531","pdf_url":"https://www.ijcai.org/proceedings/2023/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767711.pdf","grobid_xml":"https://content.openalex.org/works/W4385767711.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1972618510","https://openalex.org/W2111316763","https://openalex.org/W2151013106","https://openalex.org/W2471536144","https://openalex.org/W2533012945","https://openalex.org/W2809368942","https://openalex.org/W2813911573","https://openalex.org/W2899224111","https://openalex.org/W2902225823","https://openalex.org/W2964677000","https://openalex.org/W2969510879","https://openalex.org/W2970369250","https://openalex.org/W2972983657","https://openalex.org/W2996108195","https://openalex.org/W2996171578","https://openalex.org/W2997125355","https://openalex.org/W3005707232","https://openalex.org/W3021542222","https://openalex.org/W3033844565","https://openalex.org/W3042473535","https://openalex.org/W3049718207","https://openalex.org/W3091002423","https://openalex.org/W3100622326","https://openalex.org/W3116529608","https://openalex.org/W3130976481","https://openalex.org/W3135151795","https://openalex.org/W3135367836","https://openalex.org/W3135740182","https://openalex.org/W3137648958","https://openalex.org/W3158661000","https://openalex.org/W3159523667","https://openalex.org/W3166396011","https://openalex.org/W3172507542","https://openalex.org/W3175854195","https://openalex.org/W3176376875","https://openalex.org/W3178291178","https://openalex.org/W3179069071","https://openalex.org/W3190805089","https://openalex.org/W3206022611","https://openalex.org/W4210786162","https://openalex.org/W4236879926","https://openalex.org/W4281779326","https://openalex.org/W4284880984","https://openalex.org/W4287388854","https://openalex.org/W4287868498","https://openalex.org/W4312284259","https://openalex.org/W4312999279","https://openalex.org/W4313165093","https://openalex.org/W6676506600","https://openalex.org/W6791858558","https://openalex.org/W6803771590","https://openalex.org/W6863994431","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W4323323165","https://openalex.org/W4390721878","https://openalex.org/W2745033168"],"abstract_inverted_index":{"Various":[0],"strategies":[1,16,43],"for":[2],"label-scarce":[3],"object":[4,107],"detection":[5,108],"have":[6,156],"been":[7],"explored":[8],"by":[9,164,185],"the":[10,32,65,77,126,137,146,170,178],"computer":[11],"vision":[12,36,62],"research":[13],"community.":[14],"These":[15],"mainly":[17],"rely":[18,44],"on":[19,45,177],"assumptions":[20],"that":[21],"are":[22],"specific":[23],"to":[24,31],"natural":[25],"images":[26,102],"and":[27,34,70,168],"not":[28],"directly":[29],"applicable":[30],"biological":[33,61],"biomedical":[35],"domains.":[37],"For":[38],"example,":[39],"most":[40],"semi-supervised":[41,106,122],"learning":[42,123],"a":[46,53,90,105,121,141,158],"small":[47],"set":[48],"of":[49,56,79,118,128,161],"labeled":[50],"data":[51,152],"as":[52,104,175],"confident":[54],"source":[55],"ground":[57,66],"truth.":[58],"In":[59,85],"many":[60],"applications,":[63],"however,":[64],"truth":[67],"is":[68,134],"unknown":[69],"indirect":[71],"information":[72,119,133,149,166],"might":[73],"be":[74,151],"available":[75,116,147],"in":[76,93,125,140],"form":[78,127],"noisy":[80],"estimations":[81],"or":[82],"orthogonal":[83],"evidence.":[84],"this":[86],"work,":[87],"we":[88,155],"frame":[89],"crucial":[91],"problem":[92],"spatial":[94],"transcriptomics":[95],"-":[96,103],"decoding":[97],"barcodes":[98],"from":[99],"In-Situ-Sequencing":[100],"(ISS)":[101],"(SSOD)":[109],"problem.":[110],"Our":[111],"proposed":[112],"framework":[113,124],"incorporates":[114],"additional":[115],"sources":[117],"into":[120,136],"privileged":[129,132,148,165],"information.":[130],"The":[131],"incorporated":[135],"teacher's":[138],"pseudo-labeling":[139,162],"teacher-student":[142],"self-training":[143],"iteration.":[144],"Although":[145],"could":[150],"domain":[153],"specific,":[154],"introduced":[157],"general":[159],"strategy":[160],"enhanced":[163],"(PLePI)":[167],"exemplified":[169],"concept":[171],"using":[172,181],"ISS":[173],"images,":[174],"well":[176],"COCO":[179],"benchmark":[180],"extra":[182],"evidence":[183],"provided":[184],"CLIP.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T13:37:22.277990","created_date":"2025-10-10T00:00:00"}
