{"id":"https://openalex.org/W4221166280","doi":"https://doi.org/10.1109/icra46639.2022.9811873","title":"TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery","display_name":"TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4221166280","doi":"https://doi.org/10.1109/icra46639.2022.9811873"},"language":"en","primary_location":{"id":"doi:10.1109/icra46639.2022.9811873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Robotics and Automation (ICRA)","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/A5101817999","display_name":"Zixu Zhao","orcid":"https://orcid.org/0000-0001-9399-3475"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zixu Zhao","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Computer Science and Engineering,Hong Kong","Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Computer Science and Engineering,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050163233","display_name":"Yueming Jin","orcid":"https://orcid.org/0000-0003-3775-3877"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yueming Jin","raw_affiliation_strings":["University College,Department of Comouter Science,London,UK","Department of Comouter Science, University College, London, UK"],"affiliations":[{"raw_affiliation_string":"University College,Department of Comouter Science,London,UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Comouter Science, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pheng-Ann Heng","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems","Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101817999"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":36.7338,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.99875,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"11186","last_page":"11193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10868","display_name":"Soft Robotics and Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528226971626282},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6610855460166931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567719578742981},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5165635347366333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4407609701156616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37428492307662964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528226971626282},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6610855460166931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567719578742981},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5165635347366333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4407609701156616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37428492307662964},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra46639.2022.9811873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1953678742","https://openalex.org/W2194775991","https://openalex.org/W2346178339","https://openalex.org/W2601943843","https://openalex.org/W2734349601","https://openalex.org/W2769112066","https://openalex.org/W2792767783","https://openalex.org/W2884822772","https://openalex.org/W2922139421","https://openalex.org/W2962766617","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2964026410","https://openalex.org/W2964309882","https://openalex.org/W2980225217","https://openalex.org/W3003209274","https://openalex.org/W3014641072","https://openalex.org/W3047314733","https://openalex.org/W3092462694","https://openalex.org/W3094480255","https://openalex.org/W3095500987","https://openalex.org/W3096104140","https://openalex.org/W3096609285","https://openalex.org/W3119686997","https://openalex.org/W3133781470","https://openalex.org/W3134247921","https://openalex.org/W3136540427","https://openalex.org/W3150252053","https://openalex.org/W3150630416","https://openalex.org/W3171516518","https://openalex.org/W3173611291","https://openalex.org/W3199909373","https://openalex.org/W3201659970","https://openalex.org/W3203467945","https://openalex.org/W3203692901","https://openalex.org/W3205596143","https://openalex.org/W3206965411","https://openalex.org/W3213165621","https://openalex.org/W4200045126","https://openalex.org/W4212965831","https://openalex.org/W4288574670","https://openalex.org/W4385245566","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6748481559","https://openalex.org/W6749224376","https://openalex.org/W6758742486","https://openalex.org/W6767071366","https://openalex.org/W6773996751","https://openalex.org/W6778485988","https://openalex.org/W6780058639","https://openalex.org/W6784094891","https://openalex.org/W6784392618","https://openalex.org/W6787985011","https://openalex.org/W6798837711","https://openalex.org/W6800317752"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Surgical":[0],"instrument":[1,29,62,69,143],"segmentation":[2,145],"-":[3,10],"in":[4,18],"general":[5],"a":[6,39,50,78],"pixel":[7],"classification":[8,41],"task":[9],"is":[11,114,139],"fundamentally":[12],"crucial":[13],"for":[14],"promoting":[15],"cognitive":[16],"intelligence":[17],"robot-assisted":[19],"surgery":[20,161],"(RAS).":[21],"However,":[22],"previous":[23,96],"methods":[24],"are":[25],"struggling":[26],"with":[27,74,95,141],"discriminating":[28],"types":[30],"and":[31,72,158],"instances.":[32],"To":[33],"address":[34],"above":[35],"issues,":[36],"we":[37,88],"explore":[38],"mask":[40],"paradigm":[42],"that":[43,54,93],"produces":[44],"per-segment":[45],"predictions.":[46],"We":[47],"propose":[48],"TraSeTR,":[49],"novel":[51],"Track-to-Segment":[52],"Transformer":[53],"wisely":[55],"exploits":[56],"tracking":[57,101,127],"cues":[58],"to":[59,99,103,117],"assist":[60],"surgical":[61],"segmentation.":[63],"TraSeTR":[64],"jointly":[65],"reasons":[66],"about":[67],"the":[68,90,119,126],"type,":[70],"location,":[71],"identity":[73,107],"instance-level":[75],"predictions":[76],"i.e.,":[77],"set":[79],"of":[80,136],"class-bbox-mask":[81],"pairs,":[82],"by":[83,130],"decoding":[84],"query":[85,92,111,120],"embeddings.":[86],"Specifically,":[87],"introduce":[89],"prior":[91],"encoded":[94],"temporal":[97,132],"knowledge,":[98],"transfer":[100],"signals":[102],"current":[104],"instances":[105],"via":[106],"matching.":[108],"A":[109],"contrastive":[110],"learning":[112],"strategy":[113],"further":[115],"applied":[116],"reshape":[118],"feature":[121],"space,":[122],"which":[123],"greatly":[124],"alleviates":[125],"difficulty":[128],"caused":[129],"large":[131],"variations.":[133],"The":[134],"effectiveness":[135],"our":[137],"method":[138],"demonstrated":[140],"state-of-the-art":[142],"type":[144],"results":[146],"on":[147],"three":[148],"public":[149],"datasets,":[150],"including":[151],"two":[152],"RAS":[153],"benchmarks":[154],"from":[155],"EndoVis":[156],"Challenges":[157],"one":[159],"cataract":[160],"dataset":[162],"CaDIs.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
