{"id":"https://openalex.org/W3205954218","doi":"https://doi.org/10.1145/3474085.3481536","title":"RecycleNet","display_name":"RecycleNet","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3205954218","doi":"https://doi.org/10.1145/3474085.3481536","mag":"3205954218"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3481536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3481536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5101541173","display_name":"Yiqing Hu","orcid":"https://orcid.org/0009-0000-0342-0834"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqing Hu","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563635","display_name":"Yan Zheng","orcid":"https://orcid.org/0000-0001-7237-1570"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zheng","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075649586","display_name":"Xinghua Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghua Jiang","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458818","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-5248-935X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016912950","display_name":"Deqiang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Jiang","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084063805","display_name":"Yinsong Liu","orcid":"https://orcid.org/0000-0002-0096-3662"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsong Liu","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073750509","display_name":"Bo Ren","orcid":"https://orcid.org/0000-0002-0619-7188"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ren","raw_affiliation_strings":["Tencent YouTu Lab, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101541173"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40940345,"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":"1102","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.994700014591217,"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":0.7792884111404419},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6298417448997498},{"id":"https://openalex.org/keywords/parallels","display_name":"Parallels","score":0.59200519323349},{"id":"https://openalex.org/keywords/pillar","display_name":"Pillar","score":0.5680262446403503},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.5502731800079346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47702452540397644},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4594292640686035},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4511588513851166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3596256971359253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2838703691959381},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1143251359462738},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06311488151550293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7792884111404419},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6298417448997498},{"id":"https://openalex.org/C2775922551","wikidata":"https://www.wikidata.org/wiki/Q7135033","display_name":"Parallels","level":2,"score":0.59200519323349},{"id":"https://openalex.org/C105289051","wikidata":"https://www.wikidata.org/wiki/Q1930094","display_name":"Pillar","level":2,"score":0.5680262446403503},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.5502731800079346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47702452540397644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4594292640686035},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4511588513851166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3596256971359253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2838703691959381},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1143251359462738},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06311488151550293},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3481536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3481536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W2144554289","https://openalex.org/W2193145675","https://openalex.org/W2194187530","https://openalex.org/W2294053032","https://openalex.org/W2307770531","https://openalex.org/W2519818067","https://openalex.org/W2560023338","https://openalex.org/W2599765304","https://openalex.org/W2735253541","https://openalex.org/W2740767790","https://openalex.org/W2741768657","https://openalex.org/W2794506130","https://openalex.org/W2798450692","https://openalex.org/W2798905980","https://openalex.org/W2810028092","https://openalex.org/W2899771611","https://openalex.org/W2950923448","https://openalex.org/W2952439627","https://openalex.org/W2962773189","https://openalex.org/W2962790387","https://openalex.org/W2962810613","https://openalex.org/W2962986948","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963311793","https://openalex.org/W2963522749","https://openalex.org/W2963623257","https://openalex.org/W2963647456","https://openalex.org/W2963840241","https://openalex.org/W2963840672","https://openalex.org/W2963868681","https://openalex.org/W2964018263","https://openalex.org/W2964296749","https://openalex.org/W2981235251","https://openalex.org/W2983626510","https://openalex.org/W2997154779","https://openalex.org/W2997733403","https://openalex.org/W2998382406","https://openalex.org/W3007389333","https://openalex.org/W3012003609","https://openalex.org/W3014074635","https://openalex.org/W3025800305","https://openalex.org/W3034447740","https://openalex.org/W3034514377","https://openalex.org/W3034792612","https://openalex.org/W3035449864","https://openalex.org/W3046552652","https://openalex.org/W3048778885","https://openalex.org/W3092834961","https://openalex.org/W3093046205","https://openalex.org/W3095672411","https://openalex.org/W3104953317","https://openalex.org/W3106250896","https://openalex.org/W3110267192"],"related_works":["https://openalex.org/W2277794996","https://openalex.org/W2504593154","https://openalex.org/W4244588036","https://openalex.org/W1964879957","https://openalex.org/W4235632730","https://openalex.org/W2005046750","https://openalex.org/W4390115938","https://openalex.org/W2807806191","https://openalex.org/W3206716821","https://openalex.org/W3015404287"],"abstract_inverted_index":{"Text":[0],"recognition":[1,13,102,112,134],"is":[2],"the":[3,88,126],"key":[4],"pillar":[5],"for":[6,96],"many":[7],"real-world":[8],"multimedia":[9],"applications.":[10],"Existing":[11],"text":[12,21,131],"approaches":[14,35],"focus":[15],"on":[16,63],"recognizing":[17],"isolated":[18],"instances,":[19],"whose":[20],"fields":[22],"are":[23,54,60],"visually":[24],"separated":[25],"and":[26,48,57,81,104,133],"have":[27],"no":[28],"interference":[29],"with":[30,114],"each":[31],"other.":[32],"Moreover,":[33],"these":[34],"cannot":[36],"handle":[37],"overlapped":[38,83,130],"instances":[39,84],"that":[40,91],"often":[41],"appear":[42],"in":[43],"sheets":[44],"like":[45],"invoices,":[46],"receipts":[47],"math":[49],"exercises,":[50],"where":[51],"printed":[52],"templates":[53],"generated":[55],"beforehand":[56],"extra":[58],"contents":[59],"added":[61],"afterward":[62],"existing":[64,101],"texts.":[65],"In":[66],"this":[67,73],"paper,":[68],"we":[69],"aim":[70],"to":[71,93,100,110,124],"tackle":[72],"problem":[74],"by":[75,85],"proposing":[76],"RecycleNet,":[77],"which":[78,122],"automatically":[79],"extracts":[80],"reconstructs":[82],"fully":[86],"recycling":[87],"intersecting":[89],"pixels":[90],"used":[92],"be":[94],"obstacles":[95],"recognition.":[97],"RecycleNet":[98],"parallels":[99],"systems,":[103],"serves":[105],"as":[106],"a":[107],"plug-and-play":[108],"module":[109],"boost":[111,125],"performance":[113],"zero-effort.":[115],"We":[116],"also":[117],"released":[118],"an":[119],"OverlapText-500":[120],"dataset,":[121],"helps":[123],"design":[127],"of":[128],"better":[129],"recovery":[132],"solutions.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2021-10-25T00:00:00"}