{"id":"https://openalex.org/W4288099721","doi":"https://doi.org/10.48550/arxiv.2203.03911","title":"Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting","display_name":"Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288099721","doi":"https://doi.org/10.48550/arxiv.2203.03911"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.03911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2203.03911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068548252","display_name":"Chuhui Xue","orcid":"https://orcid.org/0000-0002-3562-3094"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Chuhui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337973","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-8634-0334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023507910","display_name":"Shijian Lu","orcid":"https://orcid.org/0000-0002-6766-2506"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Shijian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109615038","display_name":"Philip Torr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Torr, Philip","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101562162","display_name":"Song Bai","orcid":"https://orcid.org/0000-0002-2570-9118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Song","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9946,"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":0.9815,"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/spotting","display_name":"Spotting","score":0.50462043},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.49527207},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.49015364},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.46616843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70043516},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5848798},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.57772684},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.50462043},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.49527207},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.49015364},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46699253},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.46616843},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.44755793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4005419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37803766},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3683771},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.03911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:e59da773-2019-4fc2-9877-45717d0ae984","pdf_url":"https://ora.ox.ac.uk/objects/uuid:e59da773-2019-4fc2-9877-45717d0ae984/files/svd66w114r","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":["University of Oxford"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2203.03911","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.03911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.79,"display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4286904253","https://openalex.org/W3206647229","https://openalex.org/W3119978414","https://openalex.org/W2918559346","https://openalex.org/W2545741539","https://openalex.org/W2516975559","https://openalex.org/W2117995638","https://openalex.org/W2114097550","https://openalex.org/W2000885660","https://openalex.org/W1969408022"],"abstract_inverted_index":{"Recently,":[0],"Vision-Language":[1],"Pre-training":[2],"(VLP)":[3],"techniques":[4,216],"have":[5],"greatly":[6],"benefited":[7],"various":[8],"vision-language":[9],"tasks":[10,26,47],"by":[11,84,192],"jointly":[12,85],"learning":[13,86,128,135,156],"visual":[14,31,89,107,125],"and":[15,32,57,63,87,90,100,108,124,194,204,224,228],"textual":[16,33,91,109,123,137],"representations,":[17],"which":[18,77,170],"intuitively":[19],"helps":[20],"in":[21,35,52,66,145,164,183],"Optical":[22],"Character":[23],"Recognition":[24],"(OCR)":[25],"due":[27],"to":[28,200],"the":[29,50,120,134,139,155,172,179,210],"rich":[30],"information":[34],"scene":[36,81,130],"text":[37,55,82,103,131,167,202],"images.":[38],"However,":[39],"these":[40,152],"methods":[41],"cannot":[42],"well":[43,113,147],"cope":[44],"with":[45,148],"OCR":[46],"because":[48],"of":[49,96,136],"difficulty":[51],"both":[53],"instance-level":[54],"encoding":[56],"image-text":[58],"pair":[59],"acquisition":[60],"(i.e.":[61,161],"images":[62,146,165,182],"captured":[64],"texts":[65,144,160,163],"them).":[67],"This":[68],"paper":[69],"presents":[70],"a":[71,101,115],"weakly":[72,158,180],"supervised":[73],"pre-training":[74,215],"method,":[75],"oCLIP,":[76],"can":[78,142],"acquire":[79],"effective":[80,129],"representations":[83],"aligning":[88],"information.":[92],"Our":[93],"network":[94],"consists":[95],"an":[97],"image":[98],"encoder":[99,104],"character-aware":[102],"that":[105,118,186],"extract":[106],"features,":[110,138],"respectively,":[111],"as":[112,114],"visual-textual":[116],"decoder":[117],"models":[119],"interaction":[121],"among":[122],"features":[126],"for":[127,226],"representations.":[132],"With":[133],"pre-trained":[140,188],"model":[141,189],"attend":[143],"character":[149],"awareness.":[150],"Besides,":[151],"designs":[153],"enable":[154],"from":[157],"annotated":[159,181],"partial":[162],"without":[166],"bounding":[168],"boxes)":[169],"mitigates":[171],"data":[173],"annotation":[174],"constraint":[175],"greatly.":[176],"Experiments":[177],"over":[178],"ICDAR2019-LSVT":[184],"show":[185],"our":[187],"improves":[190],"F-score":[191],"+2.5\\%":[193],"+4.8\\%":[195],"while":[196],"transferring":[197],"its":[198],"weights":[199],"other":[201],"detection":[203],"spotting":[205],"networks,":[206],"respectively.":[207],"In":[208],"addition,":[209],"proposed":[211],"method":[212],"outperforms":[213],"existing":[214],"consistently":[217],"across":[218],"multiple":[219],"public":[220],"datasets":[221],"(e.g.,":[222],"+3.2\\%":[223],"+1.3\\%":[225],"Total-Text":[227],"CTW1500).":[229]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4288099721","counts_by_year":[],"updated_date":"2024-12-15T22:55:14.330526","created_date":"2022-07-28"}