{"id":"https://openalex.org/W4402594530","doi":"https://doi.org/10.1109/avss61716.2024.10672594","title":"A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images","display_name":"A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402594530","doi":"https://doi.org/10.1109/avss61716.2024.10672594"},"language":"en","primary_location":{"id":"doi:10.1109/avss61716.2024.10672594","doi":"https://doi.org/10.1109/avss61716.2024.10672594","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/avss61716.2024.10672594","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5045568871","display_name":"Damalla Rambabu","orcid":"https://orcid.org/0009-0002-8495-8795","observed_orcids":["https://orcid.org/0009-0002-8495-8795"]},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Damalla Rambabu","raw_affiliation_strings":["Indian Institute of Technology Hyderabad, Kandi,Sangareddy,India,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad, Kandi,Sangareddy,India,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047095739","display_name":"Rajeshreddy Datla","orcid":"https://orcid.org/0000-0002-2980-9175","observed_orcids":["https://orcid.org/0000-0002-2980-9175"]},"institutions":[{"id":"https://openalex.org/I3148377317","display_name":"Department of Space","ror":"https://ror.org/000kjq947","country_code":"IN","type":"government","lineage":["https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajeshreddy Datla","raw_affiliation_strings":["Advanced Data Processing Research Institute,Dept. of Space,Secunderabad,India,500009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Data Processing Research Institute,Dept. of Space,Secunderabad,India,500009","institution_ids":["https://openalex.org/I3148377317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113387174","display_name":"Vishnu Chalavadi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vishnu Chalavadi","raw_affiliation_strings":["Indian Institute of Technology Tirupathi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Tirupathi,India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012566120","display_name":"Chalavadi Krishna Mohan","orcid":"https://orcid.org/0000-0002-7316-0836","observed_orcids":["https://orcid.org/0000-0002-7316-0836"]},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C Krishna Mohan","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9431,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93815625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9502000212669373,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9502000212669373,"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":0.030300000682473183,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.005499999970197678,"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/generalized-zero-shot-learning","display_name":"generalized zero-shot learning","score":0.9950000047683716},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.9869999885559082},{"id":"https://openalex.org/keywords/hybrid-embeddings","display_name":"hybrid embeddings","score":0.765999972820282},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2Vec","score":0.9929999709129333},{"id":"https://openalex.org/keywords/data2vec","display_name":"data2vec","score":0.9620000123977661},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.8510000109672546},{"id":"https://openalex.org/keywords/unseen-classes","display_name":"unseen classes","score":0.6620000004768372},{"id":"https://openalex.org/keywords/semantic-embeddings","display_name":"semantic embeddings","score":0.46799999475479126}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7154608964920044},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6914017200469971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129809021949768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6125749349594116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6003576517105103},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5391223430633545},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4339168071746826},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34115731716156006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3247753977775574},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20436221361160278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13237088918685913},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06006652116775513},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss61716.2024.10672594","doi":"https://doi.org/10.1109/avss61716.2024.10672594","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/avss61716.2024.10672594","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W1980038761","https://openalex.org/W2031342017","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2128532956","https://openalex.org/W2131386954","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2493916176","https://openalex.org/W2515866431","https://openalex.org/W2520774990","https://openalex.org/W2592962403","https://openalex.org/W2607508964","https://openalex.org/W2767184555","https://openalex.org/W2889587173","https://openalex.org/W2902002028","https://openalex.org/W2924476266","https://openalex.org/W2963960318","https://openalex.org/W3022140654","https://openalex.org/W3200161593","https://openalex.org/W3203055845","https://openalex.org/W4206759674","https://openalex.org/W4224302362","https://openalex.org/W4385774224","https://openalex.org/W4394673925","https://openalex.org/W6810007534"],"related_works":["https://openalex.org/W4385774224","https://openalex.org/W2607508964","https://openalex.org/W4387872074","https://openalex.org/W4412567439","https://openalex.org/W4390044367","https://openalex.org/W2915585235","https://openalex.org/W4402351278","https://openalex.org/W3170067157","https://openalex.org/W4399426040","https://openalex.org/W3119804198"],"abstract_inverted_index":{"Generalized":[0],"zero-shot":[1,10],"learning":[2,11],"(GZSL)":[3],"is":[4],"a":[5,44,70,74,92,119],"prominent":[6],"approach":[7,47],"for":[8,32,123,137],"implementing":[9],"involving":[12],"unseen":[13,38,62],"and":[14,52,94,115,131],"seen":[15],"classes":[16,63],"in":[17,25,64,140],"the":[18,58,99,102,110,145],"classification":[19,59,139],"stage.":[20],"Many":[21],"existing":[22,150],"GZSL":[23,151],"methods":[24],"remote":[26,65,125,141],"sensing":[27,66,126,142],"images":[28,143],"use":[29],"word":[30,75],"vectors":[31],"semantic":[33,82,111,121],"exploration":[34],"that":[35,49],"inadequately":[36],"describe":[37],"scene":[39,127,138],"classes.":[40,128],"This":[41],"paper":[42],"proposes":[43],"novel":[45],"embedding":[46,54],"(WDV-ZRS)":[48],"combines":[50],"word2vec":[51,114],"data2vec":[53,116],"techniques":[55],"to":[56,117],"enhance":[57],"accuracy":[60],"of":[61,73,101,113,147],"images.":[67],"Word2vec":[68],"generates":[69,91],"vector":[71],"representation":[72],"based":[76],"on":[77,133],"its":[78],"context":[79],"usage,":[80],"capturing":[81],"relationships":[83],"between":[84],"words.":[85],"Data2vec,":[86],"derived":[87],"from":[88],"self-supervised":[89],"learning,":[90],"continuous":[93],"contextualized":[95],"latent":[96],"representation,":[97],"leveraging":[98],"strengths":[100],"standard":[103],"transformer":[104],"architecture.":[105],"The":[106],"proposed":[107],"WDV-ZRS":[108],"leverages":[109],"features":[112],"construct":[118],"discriminative":[120],"space":[122],"characterizing":[124],"Experimental":[129],"results":[130],"analysis":[132],"three":[134],"benchmark":[135],"datasets":[136],"demonstrate":[144],"effectiveness":[146],"WDV-ZRS,":[148],"surpassing":[149],"methods.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2024-09-19T00:00:00"}