{"id":"https://openalex.org/W4405778896","doi":"https://doi.org/10.1109/iros58592.2024.10801735","title":"Masked Mutual Guidance Transformer Tracking","display_name":"Masked Mutual Guidance Transformer Tracking","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405778896","doi":"https://doi.org/10.1109/iros58592.2024.10801735"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801735","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":"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/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":true,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","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,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology)"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology)","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038964194","display_name":"Jingjing Ai","orcid":"https://orcid.org/0009-0005-1780-8553"},"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":"Jiajun Ai","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013192653","display_name":"Caiyu Zhang","orcid":"https://orcid.org/0009-0005-5782-1816"},"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":"Caiyu Zhang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and College of Artificial Intelligence","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088609880"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.3488,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63418174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.6137999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.6137999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12290","display_name":"Human Motion and Animation","score":0.6133999824523926,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11325","display_name":"Inertial Sensor and Navigation","score":0.607200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5604822039604187},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4753049314022064},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4111616611480713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15528276562690735},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11969208717346191},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07440522313117981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604822039604187},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4753049314022064},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4111616611480713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15528276562690735},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11969208717346191},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07440522313117981},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801735","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2794744029","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2998434318","https://openalex.org/W3034297219","https://openalex.org/W3035453691","https://openalex.org/W3035571898","https://openalex.org/W3090155371","https://openalex.org/W3096609285","https://openalex.org/W3108519869","https://openalex.org/W3127178541","https://openalex.org/W3127756064","https://openalex.org/W3167762749","https://openalex.org/W3204540098","https://openalex.org/W3208338480","https://openalex.org/W3214586131","https://openalex.org/W4214759957","https://openalex.org/W4312255167","https://openalex.org/W4312323989","https://openalex.org/W4312472480","https://openalex.org/W4312532041","https://openalex.org/W4312567319","https://openalex.org/W4312651496","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4313156423","https://openalex.org/W4382461147","https://openalex.org/W4382467859","https://openalex.org/W4386065544","https://openalex.org/W4386075784","https://openalex.org/W4386076446","https://openalex.org/W4390872215","https://openalex.org/W4390874039","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6779879114","https://openalex.org/W6784333009","https://openalex.org/W6805147364","https://openalex.org/W6838961708","https://openalex.org/W6856333529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Visual":[0],"mask":[1,21],"learning":[2,22,44,102],"has":[3],"received":[4],"increasing":[5],"attention":[6],"in":[7],"the":[8,67,86,98,112,117,136],"field":[9],"of":[10,103],"visual":[11,20,33,62],"object":[12,104],"tracking.":[13],"However,":[14],"most":[15],"existing":[16],"studies":[17],"merely":[18],"utilize":[19],"works":[23],"as":[24],"pre-training":[25],"models":[26],"without":[27],"fully":[28],"exploiting":[29],"their":[30],"potential":[31],"for":[32,43],"representation.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,59,115],"present":[39],"a":[40,53,121],"novel":[41],"approach":[42],"tracking":[45,146],"target":[46],"features,":[47],"leveraging":[48],"an":[49],"encoder-decoder":[50],"architecture":[51],"with":[52],"masked":[54],"mutual":[55,81,95,137],"guidance":[56,82,138],"tracking(MMG).":[57],"Initially,":[58],"perform":[60],"joint":[61],"feature":[63],"extraction":[64],"on":[65,144],"both":[66],"template":[68,90],"and":[69,89,106,119,123],"search":[70,88],"areas.":[71],"Subsequently,":[72],"these":[73],"features":[74],"undergo":[75],"separate":[76],"self-decoding":[77],"processes,":[78],"followed":[79],"by":[80],"decoding":[83],"to":[84],"reconstruct":[85],"original":[87],"images.":[91],"This":[92],"process":[93],"fosters":[94],"understanding":[96],"between":[97],"images,":[99],"facilitating":[100],"improved":[101],"states":[105],"shapes":[107],"across":[108],"different":[109],"frames.":[110],"During":[111],"inference":[113],"phase,":[114],"offload":[116],"decoder":[118],"implement":[120],"simple":[122],"effective":[124,134],"tracker.":[125],"Experimental":[126],"results":[127],"indicate":[128],"that":[129,135],"our":[130],"proposed":[131],"method":[132],"is":[133],"strategy":[139],"can":[140],"achieve":[141],"state-of-the-art":[142],"performance":[143],"five":[145],"datasets.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}