{"id":"https://openalex.org/W4405784944","doi":"https://doi.org/10.1109/iros58592.2024.10802504","title":"SDTrack:Spatially decoupled tracker for visual tracking","display_name":"SDTrack:Spatially decoupled tracker for visual tracking","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405784944","doi":"https://doi.org/10.1109/iros58592.2024.10802504"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5094188179","display_name":"Zihao Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Xia","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017388383","display_name":"Xin Bi","orcid":"https://orcid.org/0000-0002-2645-1112"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Bi","raw_affiliation_strings":["Tongji University,College of Automotive Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,College of Automotive Studies","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088609880","display_name":"Baojie Fan","orcid":"https://orcid.org/0000-0002-1627-9726"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106699217","display_name":"Zhiquan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4949","last_page":"4956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9449999928474426,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9449999928474426,"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/tracking","display_name":"Tracking (education)","score":0.6953673362731934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6646338701248169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6216999292373657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.55935138463974},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5474269986152649}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6953673362731934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6646338701248169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216999292373657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55935138463974},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5474269986152649},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2794744029","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2966759264","https://openalex.org/W3001584168","https://openalex.org/W3035211844","https://openalex.org/W3090155371","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3108519869","https://openalex.org/W3174225630","https://openalex.org/W3214586131","https://openalex.org/W4214507171","https://openalex.org/W4214759957","https://openalex.org/W4221138453","https://openalex.org/W4312255167","https://openalex.org/W4312323989","https://openalex.org/W4312349930","https://openalex.org/W4312412889","https://openalex.org/W4312472480","https://openalex.org/W4312532041","https://openalex.org/W4312651496","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4382461147","https://openalex.org/W4382467859","https://openalex.org/W4385245566","https://openalex.org/W4386065544","https://openalex.org/W4386066081","https://openalex.org/W4386075784","https://openalex.org/W4386221015","https://openalex.org/W6856333529"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recent":[0],"models":[1,16],"based":[2],"on":[3,151,193],"encoder-decoder":[4],"architecture":[5],"have":[6],"shown":[7],"excellent":[8],"performance":[9,192],"in":[10,44,61,74,129],"visual":[11,63],"object":[12,75],"tracking.":[13],"The":[14,103],"encoder":[15],"the":[17,23,26,30,37,41,62,83,126,130,134,142,146,152,169],"global":[18],"spatiotemporal":[19],"feature":[20,64],"correlation":[21],"between":[22,172],"template":[24],"and":[25,121,132,175],"search":[27],"regions,":[28],"while":[29,82,157,200],"decoder":[31,131],"learns":[32],"query":[33,107],"embeddings":[34],"to":[35,53,114,141,167,197],"predict":[36],"spatial":[38],"location":[39],"of":[40,155],"target.":[42],"However,":[43],"previous":[45,198],"methods,":[46],"decoders":[47],"are":[48,66,87],"query-shared,":[49],"which":[50],"may":[51],"lead":[52],"suboptimal":[54],"results.":[55],"We":[56,94,124],"observe":[57],"that":[58,110,145,187],"different":[59,70],"regions":[60,73],"map":[65],"suitable":[67],"for":[68,79,90,118],"performing":[69],"tasks.":[71,123],"Salient":[72],"provide":[76],"important":[77],"information":[78],"classification":[80,120,174],"task,":[81],"boundaries":[84],"around":[85],"it":[86],"more":[88,149],"beneficial":[89],"box":[91],"localization":[92],"task.":[93],"therefore":[95],"propose":[96,163],"a":[97,106],"spatially":[98],"decoupled":[99],"tracker":[100,104],"called":[101],"SDTrack.":[102],"contains":[105],"selection":[108],"module":[109,128],"we":[111,162,185],"carefully":[112],"design":[113],"select":[115],"appropriate":[116],"queries":[117],"both":[119],"regression":[122],"divide":[125],"cross-attention":[127],"add":[133],"box-to-pixel":[135],"relative":[136],"position":[137],"offset":[138],"(BoxRPB)":[139],"term":[140],"cross-attention,":[143],"so":[144],"attention":[147],"is":[148],"focused":[150],"respective":[153],"areas":[154],"interest":[156],"introducing":[158],"smaller":[159],"overhead.":[160],"Finally,":[161],"an":[164],"alignment":[165],"loss":[166],"solve":[168],"misalignment":[170],"problem":[171],"accurate":[173],"precise":[176],"localization,":[177],"further":[178],"improving":[179],"tracking":[180],"performance.":[181],"Through":[182],"extensive":[183],"experiments,":[184],"demonstrate":[186],"SDTrack":[188],"achieves":[189],"new":[190],"SOTA":[191],"multiple":[194],"benchmarks":[195],"compared":[196],"work,":[199],"running":[201],"at":[202],"real-time":[203],"speeds.":[204]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}