{"id":"https://openalex.org/W4402979727","doi":"https://doi.org/10.1109/icme57554.2024.10688015","title":"High-Fidelity Lake Extraction Via Two-Stage Prompt Enhancement: Establishing A Novel Baseline and Benchmark","display_name":"High-Fidelity Lake Extraction Via Two-Stage Prompt Enhancement: Establishing A Novel Baseline and Benchmark","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979727","doi":"https://doi.org/10.1109/icme57554.2024.10688015"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5001003439","display_name":"Ben Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ben Chen","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035082721","display_name":"Xuechao Zou","orcid":"https://orcid.org/0000-0002-3743-7738"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechao Zou","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103059996","display_name":"Kai Li","orcid":"https://orcid.org/0009-0002-1117-5108"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766149","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-5727-9247"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076090670","display_name":"Junliang Xing","orcid":"https://orcid.org/0000-0001-6801-0510"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Xing","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062306214","display_name":"Pin Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Tao","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001003439"],"corresponding_institution_ids":["https://openalex.org/I116265982"],"apc_list":null,"apc_paid":null,"fwci":0.5879,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64197927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.8634999990463257,"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"}},"topics":[{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.8634999990463257,"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/T14427","display_name":"Environmental Monitoring and Data Management","score":0.7522000074386597,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11472","display_name":"Analytical Chemistry and Sensors","score":0.7146000266075134,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8319025635719299},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8271510004997253},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.719866156578064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393515467643738},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.607607901096344},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5951108932495117},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4148252308368683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3977218270301819},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15949082374572754},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.159064382314682},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.109404057264328},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06256407499313354},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.056550294160842896}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8319025635719299},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8271510004997253},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.719866156578064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393515467643738},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.607607901096344},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5951108932495117},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4148252308368683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977218270301819},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15949082374572754},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.159064382314682},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.109404057264328},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06256407499313354},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.056550294160842896},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2008359794","https://openalex.org/W2194775991","https://openalex.org/W2794825826","https://openalex.org/W3035565681","https://openalex.org/W3042309664","https://openalex.org/W3117652191","https://openalex.org/W3131500599","https://openalex.org/W3207769241","https://openalex.org/W4303980720","https://openalex.org/W4312820606","https://openalex.org/W4315781535","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4392910325","https://openalex.org/W4395091069","https://openalex.org/W6637131181","https://openalex.org/W6718683173","https://openalex.org/W6728184133","https://openalex.org/W6778883912","https://openalex.org/W6780179280","https://openalex.org/W6784333009","https://openalex.org/W6797399245","https://openalex.org/W6809646742","https://openalex.org/W6810334672","https://openalex.org/W6842806116"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W2332512904","https://openalex.org/W2319626700"],"abstract_inverted_index":{"Lake":[0],"extraction":[1,121],"from":[2,34],"remote":[3],"sensing":[4],"imagery":[5],"is":[6,147],"a":[7,53,72,89],"complex":[8],"challenge":[9],"due":[10],"to":[11,29,92,113,138],"the":[12,44,107,139],"varied":[13],"lake":[14,31,61,120],"shapes":[15],"and":[16,43,66,80,99,104,126],"data":[17],"noise.":[18],"Current":[19],"methods":[20],"rely":[21],"on":[22],"multispectral":[23],"image":[24,100],"datasets,":[25],"making":[26],"it":[27],"challenging":[28],"learn":[30],"features":[32],"accurately":[33],"pixel":[35],"arrangements.":[36],"This,":[37],"in":[38,106],"turn,":[39],"affects":[40],"model":[41],"learning":[42],"creation":[45],"of":[46,133],"accurate":[47],"segmentation":[48],"masks.":[49],"This":[50],"paper":[51],"introduces":[52],"prompt-based":[54,79,86],"dataset":[55],"construction":[56],"approach":[57,136],"that":[58],"provides":[59],"approximate":[60],"locations":[62],"using":[63],"point,":[64],"box,":[65],"mask":[67],"prompts.":[68],"We":[69],"also":[70],"propose":[71],"two-stage":[73],"prompt":[74,90,97,108],"enhancement":[75],"framework,":[76],"LEPrompter,":[77],"with":[78],"prompt-free":[81],"stages":[82],"during":[83,116],"training.":[84],"The":[85,144],"stage":[87],"employs":[88],"encoder":[91],"extract":[93],"prior":[94],"information,":[95],"integrating":[96],"tokens":[98],"embedding":[101],"through":[102],"self-":[103],"cross-attention":[105],"decoder.":[109],"Prompts":[110],"are":[111],"deactivated":[112],"ensure":[114],"independence":[115],"inference,":[117],"enabling":[118],"automated":[119],"without":[122],"introducing":[123],"additional":[124],"parameters":[125],"GFlops.":[127],"Extensive":[128],"experiments":[129],"showcase":[130],"performance":[131],"improvements":[132],"our":[134],"proposed":[135],"compared":[137],"previous":[140],"state-":[141],"of-the-art":[142],"method.":[143],"source":[145],"code":[146],"available":[148],"at":[149],"https://github.com/BastianChen/LEPrompter.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}