{"id":"https://openalex.org/W4392568065","doi":"https://doi.org/10.1145/3638837.3638879","title":"Table Detection Method Based on Faster-RCNN and Window Attention","display_name":"Table Detection Method Based on Faster-RCNN and Window Attention","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4392568065","doi":"https://doi.org/10.1145/3638837.3638879"},"language":"en","primary_location":{"id":"doi:10.1145/3638837.3638879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638837.3638879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007519722","display_name":"Han Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Chen","raw_affiliation_strings":["College Of Software, Zhengzhou University of Light Industry, China"],"raw_orcid":"https://orcid.org/0009-0008-5454-6443","affiliations":[{"raw_affiliation_string":"College Of Software, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895960","display_name":"Shengli Song","orcid":"https://orcid.org/0009-0000-7501-1255"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Song","raw_affiliation_strings":["College Of Software, Zhengzhou University of Light Industry, China"],"raw_orcid":"https://orcid.org/0009-0000-7501-1255","affiliations":[{"raw_affiliation_string":"College Of Software, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070368825","display_name":"Rijian Su","orcid":"https://orcid.org/0000-0003-3516-258X"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rijian Su","raw_affiliation_strings":["School of Computer Science and Technology, Zhengzhou University of Light Industry, China"],"raw_orcid":"https://orcid.org/0000-0003-3516-258X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9824000000953674,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9714000225067139,"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/computer-science","display_name":"Computer science","score":0.7322065830230713},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6995034217834473},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.660031795501709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4050701856613159},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19186770915985107},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14958801865577698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322065830230713},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6995034217834473},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.660031795501709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4050701856613159},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19186770915985107},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14958801865577698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638837.3638879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638837.3638879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Networks, Communication and Computing","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":11,"referenced_works":["https://openalex.org/W2786162033","https://openalex.org/W2963163009","https://openalex.org/W2971712385","https://openalex.org/W3003760744","https://openalex.org/W3004127423","https://openalex.org/W3033696290","https://openalex.org/W3084423651","https://openalex.org/W3138516171","https://openalex.org/W4220999101","https://openalex.org/W4318822665","https://openalex.org/W6600407735"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"As":[0],"an":[1,78],"important":[2],"carrier":[3],"of":[4,10,31,41,45,56,64,86,134],"information,":[5],"tables":[6,47],"possess":[7],"the":[8,29,38,54,62,114,118,135],"characteristics":[9],"high":[11],"data":[12],"storage":[13],"density,":[14],"conciseness,":[15],"and":[16,18,24,34,70,101,107],"intuitiveness,":[17],"are":[19],"widely":[20],"applied":[21],"in":[22,53,67],"offices":[23],"daily":[25],"life.":[26],"Due":[27],"to":[28,116,126],"complexity":[30],"table":[32,65,68,73],"structures":[33],"diverse":[35],"presentation":[36],"formats,":[37],"automated":[39],"processing":[40,69],"a":[42,51,72,91,109],"large":[43],"number":[44],"image-based":[46,87],"has":[48],"always":[49],"been":[50],"challenge":[52],"field":[55],"document":[57,128],"recognition.":[58],"This":[59],"algorithm":[60,75],"addresses":[61],"task":[63],"detection":[66,74,94,120],"proposes":[71],"based":[76],"on":[77,143],"improved":[79],"window":[80],"self-attention":[81],"network":[82,105,112],"for":[83],"feature":[84,98,110],"extraction":[85,99],"tables.":[88],"It":[89],"utilizes":[90],"two-stage":[92],"object":[93],"algorithm,":[95],"introduces":[96],"local":[97],"blocks":[100],"backward":[102],"feed-forward":[103],"residual":[104],"blocks,":[106],"designs":[108],"pyramid":[111],"within":[113],"backbone":[115],"enhance":[117],"model's":[119],"performance":[121],"by":[122],"improving":[123],"its":[124],"ability":[125],"learn":[127],"spatial":[129],"layout":[130],"features.":[131],"The":[132],"effectiveness":[133],"proposed":[136],"method":[137],"is":[138],"verified":[139],"through":[140],"experimental":[141],"comparisons":[142],"publicly":[144],"available":[145],"datasets.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
