{"id":"https://openalex.org/W4313496329","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9996027","title":"Semantic SuperPoint: A Deep Semantic Descriptor","display_name":"Semantic SuperPoint: A Deep Semantic Descriptor","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4313496329","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9996027"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre56824.2022.9996027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9996027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","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/A5076629697","display_name":"Gabriel Soares Gama","orcid":null},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gabriel Soares Gama","raw_affiliation_strings":["São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074413750","display_name":"N\u00edcolas dos Santos Rosa","orcid":"https://orcid.org/0000-0002-3511-090X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nicolas Dos Santos Rosa","raw_affiliation_strings":["São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009669213","display_name":"Valdir Grassi","orcid":"https://orcid.org/0000-0001-6753-139X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Valdir Grassi","raw_affiliation_strings":["São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"São Carlos School of Engineering, University of São Paulo,São Carlos,SP,Brazil","institution_ids":["https://openalex.org/I177909021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076629697"],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4975587,"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":"294","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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":0.8579778671264648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163992881774902},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5945379137992859},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.586078941822052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5737098455429077},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5323277711868286},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.510398805141449},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4951106607913971},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4832483232021332},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47764766216278076},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4564847946166992},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.4356006979942322},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42015624046325684},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3946007490158081},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3850325047969818},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36258670687675476},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35933077335357666},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.15137073397636414},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13729611039161682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579778671264648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163992881774902},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5945379137992859},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.586078941822052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5737098455429077},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5323277711868286},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.510398805141449},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4951106607913971},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4832483232021332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47764766216278076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4564847946166992},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.4356006979942322},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42015624046325684},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3946007490158081},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3850325047969818},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36258670687675476},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35933077335357666},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.15137073397636414},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13729611039161682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre56824.2022.9996027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9996027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2064829491","display_name":null,"funder_award_id":"2021/08117-0,2014/50851-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2117228865","https://openalex.org/W2150066425","https://openalex.org/W2151103935","https://openalex.org/W2157271558","https://openalex.org/W2193145675","https://openalex.org/W2320444803","https://openalex.org/W2535547924","https://openalex.org/W2612624696","https://openalex.org/W2897816641","https://openalex.org/W2963677766","https://openalex.org/W2963748588","https://openalex.org/W2964304707","https://openalex.org/W2996333182","https://openalex.org/W3043075211","https://openalex.org/W3091727808","https://openalex.org/W3102327032","https://openalex.org/W3106250896","https://openalex.org/W3121611132","https://openalex.org/W3133154446","https://openalex.org/W4212774754","https://openalex.org/W4225621014","https://openalex.org/W4293363567","https://openalex.org/W4295141442","https://openalex.org/W6754005058","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3134365128","https://openalex.org/W1965623300","https://openalex.org/W2541135911","https://openalex.org/W2250607250","https://openalex.org/W2359259132","https://openalex.org/W3016822073","https://openalex.org/W2362519509","https://openalex.org/W2103835134","https://openalex.org/W4387489691","https://openalex.org/W2388581364"],"abstract_inverted_index":{"Several":[0],"SLAM":[1],"methods":[2,13,93],"benefit":[3],"from":[4],"the":[5,39,46,69,76,80,99,116,123,130],"use":[6],"of":[7,79,90,101],"semantic":[8,22,29,43,60,81],"information.":[9],"Most":[10],"integrate":[11],"photometric":[12],"with":[14],"high-level":[15,59],"semantics":[16],"such":[17],"as":[18],"object":[19],"detection":[20,111],"and":[21,71,97,112],"segmentation.":[23],"We":[24],"propose":[25],"that":[26,122],"adding":[27],"a":[28,33,52],"segmentation":[30],"decoder":[31,41],"in":[32,68],"shared":[34],"encoder":[35],"architecture":[36],"would":[37,50,64,72],"help":[38],"descriptor":[40,70],"learn":[42],"information,":[44,86],"improving":[45],"feature":[47],"extractor.":[48],"This":[49],"be":[51,65],"more":[53],"robust":[54],"approach":[55],"than":[56,129],"only":[57],"using":[58],"information":[61],"since":[62],"it":[63],"intrinsically":[66],"learned":[67],"not":[73],"depend":[74],"on":[75,115],"final":[77],"quality":[78],"prediction.":[82],"To":[83],"add":[84],"this":[85],"we":[87],"take":[88],"advantage":[89],"multi-task":[91],"learning":[92],"to":[94,110],"improve":[95],"accuracy":[96],"balance":[98],"performance":[100],"each":[102],"task.":[103],"The":[104,119],"proposed":[105],"models":[106],"are":[107],"evaluated":[108],"according":[109],"matching":[113],"metrics":[114],"HPatches":[117],"dataset.":[118],"results":[120],"show":[121],"Semantic":[124],"SuperPoint":[125],"model":[126],"performs":[127],"better":[128],"baseline":[131],"one.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}