{"id":"https://openalex.org/W4376482651","doi":"https://doi.org/10.1145/3571600.3571638","title":"KolamNet: An attention based model for kolam classification\u2731","display_name":"KolamNet: An attention based model for kolam classification\u2731","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4376482651","doi":"https://doi.org/10.1145/3571600.3571638"},"language":"en","primary_location":{"id":"doi:10.1145/3571600.3571638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5036118196","display_name":"A Sasithradevi","orcid":"https://orcid.org/0000-0001-5198-6648"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"SASITHRADEVI ANBALAGAN","raw_affiliation_strings":["SCHOOL OF ELECTRONICS ENGINEERING, VELLORE INSTITUTE OF TECHNOLOGY, India"],"affiliations":[{"raw_affiliation_string":"SCHOOL OF ELECTRONICS ENGINEERING, VELLORE INSTITUTE OF TECHNOLOGY, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062954161","display_name":"S. Shoba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SHOBA","raw_affiliation_strings":["SCHOOL OF ELECTRONICS ENGINEERING, VELLORE INSTITUTE OF TECHNOLOGY, IN"],"affiliations":[{"raw_affiliation_string":"SCHOOL OF ELECTRONICS ENGINEERING, VELLORE INSTITUTE OF TECHNOLOGY, IN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045335695","display_name":"Sabari Nathan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SABARI NATHAN","raw_affiliation_strings":["COUGER INC, TOKYO, JP"],"affiliations":[{"raw_affiliation_string":"COUGER INC, TOKYO, JP","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049915447","display_name":"S. Mohamed Mansoor Roomi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MD MANSOOR ROOMI","raw_affiliation_strings":["ELECTRONICS AND COMMUNICATION ENGINEERING, THIAGARAJAR COLLEGE OF ENGINEERING, IN"],"affiliations":[{"raw_affiliation_string":"ELECTRONICS AND COMMUNICATION ENGINEERING, THIAGARAJAR COLLEGE OF ENGINEERING, IN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036118196"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.6787,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79885961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T14254","display_name":"Digital Media and Visual Art","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14254","display_name":"Digital Media and Visual Art","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9751999974250793,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050638556480408},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.5937114357948303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5367326736450195},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4428287446498871},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3610188364982605}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050638556480408},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.5937114357948303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5367326736450195},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4428287446498871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3610188364982605},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571600.3571638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1569602564","https://openalex.org/W1979434735","https://openalex.org/W2047180056","https://openalex.org/W2561675875","https://openalex.org/W2978165524","https://openalex.org/W3022098450","https://openalex.org/W3118660027","https://openalex.org/W3201414681","https://openalex.org/W4200420861","https://openalex.org/W4210763500","https://openalex.org/W4323063559"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Kolam,":[0],"the":[1,50,56,74,85,102,118,126,136,157,175,187,190,194,217],"art":[2,17,78,218],"of":[3,26,34,45,76,87,91,120,125,139,189,202,216],"floor":[4,77],"drawing":[5],"is":[6,49,142,171,180],"a":[7,67,95,131],"long":[8],"standing":[9],"and":[10,58,72,89,110,155,209],"time-honoured":[11],"practice":[12],"in":[13,22,29,83,113,123,200],"India.":[14],"The":[15,32,43],"traditional":[16],"has":[18,36],"its":[19,27],"own":[20],"impact":[21],"Indian":[23],"culture":[24,33,75],"because":[25],"role":[28],"religious":[30],"practice.":[31],"kolam":[35,92,103],"decreased":[37],"over":[38],"time":[39],"due":[40],"to":[41,61,70,100,134,163,173,185,192,213],"modernization.":[42],"photograph":[44],"these":[46],"artistic":[47],"images":[48,104],"fundamental":[51],"component":[52],"that":[53],"can":[54],"provide":[55],"visual":[57],"sensory":[59],"experiences":[60],"future":[62],"generations.":[63],"So,":[64],"we":[65,98,129],"need":[66],"sincere":[68],"attempt":[69],"preserve":[71],"document":[73],"images.":[79,93],"Image":[80],"classification":[81,176],"aids":[82],"easing":[84],"process":[86],"preservation":[88],"documentation":[90],"As":[94],"primary":[96],"step,":[97],"aim":[99],"classify":[101,135,193],"viz,":[105],"footprint,":[106],"swastik,":[107],"geometric,":[108],"plant":[109],"animal":[111],"motifs":[112,138],"this":[114],"article.":[115],"Inspired":[116],"by":[117,144],"performance":[119,203],"deep":[121,158,219],"networks":[122],"most":[124],"vision-based":[127],"problems,":[128],"developed":[130],"new":[132],"kolamNet":[133],"different":[137],"kolam.":[140],"KolamNet":[141,191,196],"attained":[143],"incorporating":[145],"attention":[146],"mechanism":[147,151],"into":[148],"EfficientNet.":[149],"Attention":[150],"assures":[152],"lightweight":[153],"functionality":[154],"refines":[156],"feature":[159],"along":[160],"with":[161],"end":[162,164],"training.":[165],"To":[166],"validate":[167],"KolamNet,":[168],"Kolam":[169,183],"dataset":[170,184],"created":[172],"accomplish":[174],"task.":[177],"Extensive":[178],"experimentation":[179],"conducted":[181],"on":[182],"prove":[186],"effectiveness":[188],"motifs.":[195],"shows":[197],"better":[198],"capability":[199],"terms":[201],"metrics":[204],"\u2013":[205],"accuracy-97%,":[206],"precision-0.96,":[207],"recall-0.97":[208],"F1score-0.97":[210],"when":[211],"compared":[212],"related":[214],"state":[215],"network":[220],"architectures.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
