{"id":"https://openalex.org/W4416748355","doi":"https://doi.org/10.1109/iros60139.2025.11247364","title":"TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and Verification","display_name":"TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and Verification","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416748355","doi":"https://doi.org/10.1109/iros60139.2025.11247364"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5089028936","display_name":"Huaqi Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaqi Tao","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102870314","display_name":"Bingxi Liu","orcid":"https://orcid.org/0000-0002-9826-747X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxi Liu","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078562310","display_name":"Calvin Yu\u2010Chian Chen","orcid":"https://orcid.org/0000-0001-9213-9832"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Calvin Chen","raw_affiliation_strings":["University of Cambridge,Cambridge,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,Cambridge,United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101310943","display_name":"Tingjun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingjun Huang","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317904","display_name":"He Li","orcid":"https://orcid.org/0000-0003-1152-5817"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062631244","display_name":"Jinqiang Cui","orcid":"https://orcid.org/0000-0002-7833-1876"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiang Cui","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430266","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1677-6132"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5089028936"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3998758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11081","last_page":"11088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6801999807357788,"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":0.6801999807357788,"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":0.1867000013589859,"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":0.041099999099969864,"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/discriminative-model","display_name":"Discriminative model","score":0.7432000041007996},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.5443000197410583},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5368000268936157},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5324000120162964},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4740999937057495},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4074999988079071},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4000999927520752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35510000586509705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331000208854675},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7432000041007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617000102996826},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.5443000197410583},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5368000268936157},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5324000120162964},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4117000102996826},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4000999927520752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.34929999709129333},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":40,"referenced_works":["https://openalex.org/W2110405746","https://openalex.org/W2194775991","https://openalex.org/W2211833556","https://openalex.org/W2284029970","https://openalex.org/W2951019013","https://openalex.org/W2963210849","https://openalex.org/W2963588253","https://openalex.org/W2964271799","https://openalex.org/W2969541062","https://openalex.org/W2977977449","https://openalex.org/W3095367607","https://openalex.org/W3162100037","https://openalex.org/W3168291432","https://openalex.org/W3173736705","https://openalex.org/W4283821822","https://openalex.org/W4289950771","https://openalex.org/W4296890702","https://openalex.org/W4312336574","https://openalex.org/W4312597490","https://openalex.org/W4312854990","https://openalex.org/W4319300119","https://openalex.org/W4382464147","https://openalex.org/W4386066001","https://openalex.org/W4386159050","https://openalex.org/W4386952483","https://openalex.org/W4387123825","https://openalex.org/W4387623734","https://openalex.org/W4389819300","https://openalex.org/W4390872200","https://openalex.org/W4394564281","https://openalex.org/W4398151442","https://openalex.org/W4401417153","https://openalex.org/W4401417204","https://openalex.org/W4402660141","https://openalex.org/W4402716379","https://openalex.org/W4402727131","https://openalex.org/W4402753708","https://openalex.org/W4402961487","https://openalex.org/W4405022859","https://openalex.org/W4405786473"],"related_works":[],"abstract_inverted_index":{"Visual":[0],"Place":[1],"Recognition":[2],"(VPR)":[3],"is":[4],"a":[5,65,89,93,116],"crucial":[6],"capability":[7],"for":[8,108],"long-term":[9],"autonomous":[10],"robots,":[11],"enabling":[12],"them":[13],"to":[14,31,62,77,104,120,132],"identify":[15],"previously":[16],"visited":[17],"locations":[18],"using":[19],"visual":[20,79],"information.":[21,192],"However,":[22],"existing":[23,185],"methods":[24,186],"remain":[25],"limited":[26],"in":[27,37,47,82,158],"indoor":[28,48,84,150,164],"settings":[29],"due":[30],"the":[32,112,127,138,144,154],"highly":[33],"repetitive":[34,83,149],"structures":[35],"inherent":[36],"such":[38],"environments.":[39,85],"We":[40],"observe":[41],"that":[42,71,179,187],"scene":[43,124,151],"texts":[44,129],"frequently":[45],"appear":[46],"spaces":[49],"and":[50,122,136,153,175,196],"can":[51],"help":[52],"distinguish":[53],"visually":[54],"similar":[55],"but":[56],"different":[57],"places.":[58],"This":[59],"inspires":[60],"us":[61],"propose":[63],"TextInPlace,":[64],"simple":[66],"yet":[67],"effective":[68],"VPR":[69,99,165],"framework":[70],"integrates":[72],"Scene":[73],"Text":[74],"Spotting":[75],"(STS)":[76],"mitigate":[78],"perceptual":[80],"ambiguity":[81],"Specifically,":[86],"TextInPlace":[87,180],"adopts":[88],"dual-branch":[90],"architecture":[91],"within":[92],"local":[94],"parameter":[95],"sharing":[96],"network.":[97],"The":[98,193],"branch":[100,114],"employs":[101],"attention-based":[102],"aggregation":[103],"extract":[105],"global":[106],"descriptors":[107],"coarse-grained":[109],"retrieval,":[110],"while":[111],"STS":[113],"utilizes":[115],"bridging":[117],"text":[118,134],"spotter":[119],"detect":[121],"recognize":[123],"texts.":[125],"Finally,":[126],"discriminative":[128],"are":[130,199],"filtered":[131],"compute":[133],"similarity":[135],"re-rank":[137],"top-K":[139],"retrieved":[140],"images.":[141],"To":[142],"bridge":[143],"gap":[145],"between":[146],"current":[147],"text-based":[148],"datasets":[152,177],"typical":[155],"scenarios":[156],"encountered":[157],"robot":[159],"navigation,":[160],"we":[161],"establish":[162],"an":[163],"benchmark":[166],"dataset,":[167,194],"called":[168],"Maze-with-Text.":[169],"Extensive":[170],"experiments":[171],"on":[172,190],"both":[173],"custom":[174],"public":[176],"demonstrate":[178],"achieves":[181],"superior":[182],"performance":[183],"over":[184],"rely":[188],"solely":[189],"appearance":[191],"code,":[195],"trained":[197],"models":[198],"publicly":[200],"available":[201],"at":[202],"https://github.com/HqiTao/TextInPlace.":[203]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}