{"id":"https://openalex.org/W4402978239","doi":"https://doi.org/10.1371/journal.pone.0307083","title":"Prompt-guided and multimodal landscape scenicness assessments with vision-language models","display_name":"Prompt-guided and multimodal landscape scenicness assessments with vision-language models","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4402978239","doi":"https://doi.org/10.1371/journal.pone.0307083","pmid":"https://pubmed.ncbi.nlm.nih.gov/39348404","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11441650"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pone.0307083","doi":"https://doi.org/10.1371/journal.pone.0307083","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0307083","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307083&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307083&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041848419","display_name":"Alex Levering","orcid":"https://orcid.org/0000-0002-9821-7990","observed_orcids":["https://orcid.org/0000-0002-9821-7990"]},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alex Levering","raw_affiliation_strings":["Instituut voor Milieuvraagstukken, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands","Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Wageningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituut voor Milieuvraagstukken, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Wageningen, the Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071561639","display_name":"Diego Marcos","orcid":"https://orcid.org/0000-0001-5607-4445","observed_orcids":["https://orcid.org/0000-0001-5607-4445"]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4405260113","display_name":"EVERGREEN: Observation de la terre et apprentissage machine pour les d\u00e9fis agro-environnementaux","ror":"https://ror.org/039bszh67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210106545","https://openalex.org/I4405260113"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Diego Marcos","raw_affiliation_strings":["Inria, Universit\u00e9 de Montpellier, Montpellier, France","EVERGREEN - Observation de la terre et apprentissage machine pour les d\u00e9fis agro-environnementaux (2004 route des Lucioles 06902 Sophia Antipolis - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 de Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I19894307"]},{"raw_affiliation_string":"EVERGREEN - Observation de la terre et apprentissage machine pour les d\u00e9fis agro-environnementaux (2004 route des Lucioles 06902 Sophia Antipolis - France)","institution_ids":["https://openalex.org/I4405260113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029557305","display_name":"Nathan Jacobs","orcid":"https://orcid.org/0000-0002-4242-8967","observed_orcids":["https://orcid.org/0000-0002-4242-8967"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Jacobs","raw_affiliation_strings":["McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, United States of America","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005192117","display_name":"Devis Tuia","orcid":"https://orcid.org/0000-0003-0374-2459","observed_orcids":["https://orcid.org/0000-0003-0374-2459"]},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Devis Tuia","raw_affiliation_strings":["Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Environmental Computational Science and Earth Observation Laboratory, Sion, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0374-2459","affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Environmental Computational Science and Earth Observation Laboratory, Sion, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005192117"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":{"value":2290,"currency":"USD","value_usd":2290},"apc_paid":{"value":2290,"currency":"USD","value_usd":2290},"fwci":0.6397,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61695538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"19","issue":"9","first_page":"e0307083","last_page":"e0307083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8330000042915344,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8330000042915344,"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":0.050599999725818634,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.016499999910593033,"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/landscape-aesthetics","display_name":"landscape aesthetics","score":0.8289999961853027},{"id":"https://openalex.org/keywords/vision-language-models","display_name":"vision-language models","score":0.9810000061988831},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.8299999833106995},{"id":"https://openalex.org/keywords/zero-shot-learning","display_name":"zero-shot learning","score":0.9359999895095825},{"id":"https://openalex.org/keywords/linear-probing","display_name":"linear probing","score":0.46000000834465027}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7493115663528442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254653573036194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6511583924293518},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6050761938095093},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5858274698257446},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5714392066001892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49927759170532227},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4325949251651764},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.419802188873291},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4132674038410187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1528611183166504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1300695538520813},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004954","descriptor_name":"Esthetics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":8,"locations":[{"id":"doi:10.1371/journal.pone.0307083","doi":"https://doi.org/10.1371/journal.pone.0307083","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0307083","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307083&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11441650","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11441650","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11441650/pdf/pone.0307083.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS One","raw_type":"Text"},{"id":"pmid:39348404","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39348404","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PloS one","raw_type":"Journal Article"},{"id":"pmh:oai:HAL:hal-04855833v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04855833","pdf_url":"https://hal.science/hal-04855833/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"PLoS ONE, 2024, 19 (9), pp.e0307083. ⟨10.1371/journal.pone.0307083⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/241682","doi":null,"is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/241682","pdf_url":"https://infoscience.epfl.ch/bitstreams/1129594f-ab9d-43e5-8230-e56dd6547391/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"pmh:oai:library.wur.nl:wurpubs/635325","doi":null,"is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/prompt-guided-and-multimodal-landscape-scenicness-assessments-wit","pdf_url":"https://edepot.wur.nl/675299","source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1932-6203","raw_type":"Article/Letter to editor"},{"id":"pmh:oai:doaj.org/article:914c85b498ed424d8c431a13a23d6430","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/914c85b498ed424d8c431a13a23d6430","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"PLoS ONE, Vol 19, Iss 9, p e0307083 (2024)","raw_type":"article"},{"id":"pmh:oai:research.vu.nl:openaire/8363bc11-1e9a-40df-8c4e-bc9881683a7e","doi":null,"is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/8363bc11-1e9a-40df-8c4e-bc9881683a7e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"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":"Levering, A, Marcos, D, Jacobs, N & Tuia, D 2024, 'Prompt-guided and multimodal landscape scenicness assessments with vision-language models', PLoS ONE, vol. 19, no. 9, e0307083, pp. 1-17. https://doi.org/10.1371/journal.pone.0307083","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1371/journal.pone.0307083","doi":"https://doi.org/10.1371/journal.pone.0307083","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0307083","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307083&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402978239.pdf","grobid_xml":"https://content.openalex.org/works/W4402978239.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1604688584","https://openalex.org/W1985514943","https://openalex.org/W2085865532","https://openalex.org/W2096417948","https://openalex.org/W2124722960","https://openalex.org/W2159386812","https://openalex.org/W2173272045","https://openalex.org/W2737525190","https://openalex.org/W2743762750","https://openalex.org/W2889536039","https://openalex.org/W2890231632","https://openalex.org/W2920813182","https://openalex.org/W2945956100","https://openalex.org/W2972318168","https://openalex.org/W2974291832","https://openalex.org/W3087496741","https://openalex.org/W3090470868","https://openalex.org/W3135367836","https://openalex.org/W3165726526","https://openalex.org/W3195494505","https://openalex.org/W3198377975","https://openalex.org/W3201761356","https://openalex.org/W4221143399","https://openalex.org/W4283768796","https://openalex.org/W4309933612","https://openalex.org/W4312310776","https://openalex.org/W4312443924","https://openalex.org/W4366765114","https://openalex.org/W4386076227","https://openalex.org/W4390873312","https://openalex.org/W4395111553","https://openalex.org/W4399310967","https://openalex.org/W7133198852"],"related_works":["https://openalex.org/W7204317172","https://openalex.org/W7171801983","https://openalex.org/W4415083264","https://openalex.org/W4402670365","https://openalex.org/W7138875754","https://openalex.org/W7126221102","https://openalex.org/W7207770405","https://openalex.org/W4402353855","https://openalex.org/W7134945578","https://openalex.org/W7133188569"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,113],"deep":[3],"learning":[4,76,147],"and":[5,46,69,130,209],"Vision-Language":[6],"Models":[7],"(VLM)":[8],"have":[9],"enabled":[10],"efficient":[11,227],"transfer":[12],"to":[13,29,33,94,103,155,216,225],"downstream":[14],"tasks":[15],"even":[16],"when":[17,148],"limited":[18],"labelled":[19],"training":[20],"data":[21],"is":[22,167],"available,":[23],"as":[24,26],"well":[25],"for":[27,43,56,171,223],"text":[28,178],"be":[30],"directly":[31],"compared":[32,102],"image":[34,183,203],"content.":[35],"These":[36],"properties":[37],"of":[38,48,54,64,109,111,125,153,202,207],"VLMs":[39,55,224],"enable":[40],"new":[41],"opportunities":[42],"the":[44,52,61,121,157,221],"annotation":[45,169],"analysis":[47],"images.":[49],"We":[50,72,88,118,160,187],"test":[51],"potential":[53,124,222],"landscape":[57,132,173,193,228],"scenicness":[58,174,194,229],"prediction,":[59],"i.e.,":[60],"aesthetic":[62,133],"quality":[63],"a":[65,79,84,91,96,104,114,142,150,200],"landscape,":[66],"using":[67,128,149],"zero-":[68,208],"few-shot":[70,75,146,210],"methods.":[71],"experiment":[73],"with":[74,145,199,213,231],"by":[77],"fine-tuning":[78],"single":[80],"linear":[81,143],"layer":[82],"on":[83,107],"pre-trained":[85],"VLM":[86],"representation.":[87],"find":[89],"that":[90,138,189,196],"model":[92,105],"fitted":[93],"just":[95],"few":[97],"hundred":[98],"samples":[99,154],"performs":[100],"favourably":[101],"trained":[106],"hundreds":[108],"thousands":[110],"examples":[112],"fully":[115],"supervised":[116],"way.":[117],"also":[119],"explore":[120],"zero-shot":[122],"prediction":[123],"contrastive":[126],"prompting":[127],"positive":[129],"negative":[131],"concepts.":[134],"Our":[135],"results":[136],"show":[137],"this":[139],"method":[140,170],"outperforms":[141],"probe":[144],"small":[151],"number":[152],"tune":[156],"prompt":[158],"configuration.":[159],"introduce":[161],"Landscape":[162],"Prompt":[163],"Ensembling":[164],"(LPE),":[165],"which":[166],"an":[168,182],"acquiring":[172],"ratings":[175],"through":[176],"rated":[177],"descriptions":[179],"without":[180],"needing":[181],"dataset":[184,201],"during":[185],"annotation.":[186],"demonstrate":[188],"LPE":[190],"can":[191],"provide":[192,226],"assessments":[195,230],"are":[197],"concordant":[198],"ratings.":[204],"The":[205],"success":[206],"methods":[211],"combined":[212],"their":[214],"ability":[215],"use":[217],"text-based":[218],"annotations":[219],"highlights":[220],"greater":[232],"flexibility.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-10-01T00:00:00"}