{"id":"https://openalex.org/W4390017901","doi":"https://doi.org/10.1109/tits.2023.3341457","title":"Unified Spatio-Temporal Dynamic Routing for Efficient Video Object Segmentation","display_name":"Unified Spatio-Temporal Dynamic Routing for Efficient Video Object Segmentation","publication_year":2023,"publication_date":"2023-12-20","ids":{"openalex":"https://openalex.org/W4390017901","doi":"https://doi.org/10.1109/tits.2023.3341457"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3341457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3341457","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5058458910","display_name":"Jisheng Dang","orcid":"https://orcid.org/0000-0002-5378-6225"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jisheng Dang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5378-6225","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034213282","display_name":"Huicheng Zheng","orcid":"https://orcid.org/0000-0002-6729-4176"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huicheng Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6729-4176","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018803784","display_name":"Xiaohao Xu","orcid":"https://orcid.org/0000-0002-6750-9704"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohao Xu","raw_affiliation_strings":["Robotics Department, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Department, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013644792","display_name":"Yulan Guo","orcid":"https://orcid.org/0000-0003-0952-476X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Guo","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China","College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0952-476X","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058458910"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I157773358","https://openalex.org/I4210098034"],"apc_list":null,"apc_paid":null,"fwci":1.5307,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85495028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"5","first_page":"4512","last_page":"4526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.8145221471786499},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5157697200775146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43720579147338867},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42729100584983826},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4233688712120056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38516733050346375},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10124331712722778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145221471786499},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5157697200775146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43720579147338867},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42729100584983826},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4233688712120056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38516733050346375},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10124331712722778},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3341457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3341457","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5740037417","display_name":null,"funder_award_id":"2019A1515011869","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G622858442","display_name":null,"funder_award_id":"62372491","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6759312069","display_name":null,"funder_award_id":"2023A1515012853","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6790872277","display_name":null,"funder_award_id":"61972435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6977730487","display_name":null,"funder_award_id":"61976231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7593575001","display_name":null,"funder_award_id":"2022B1515020103","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8252004906","display_name":null,"funder_award_id":"U20A20185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W2166761907","https://openalex.org/W2194775991","https://openalex.org/W2294182682","https://openalex.org/W2470139095","https://openalex.org/W2555182955","https://openalex.org/W2562457735","https://openalex.org/W2740667773","https://openalex.org/W2794847483","https://openalex.org/W2799157347","https://openalex.org/W2799239273","https://openalex.org/W2889658408","https://openalex.org/W2889986507","https://openalex.org/W2911981226","https://openalex.org/W2916743882","https://openalex.org/W2945574898","https://openalex.org/W2955060956","https://openalex.org/W2962825871","https://openalex.org/W2963131444","https://openalex.org/W2963253279","https://openalex.org/W2963445119","https://openalex.org/W2963732700","https://openalex.org/W2963773230","https://openalex.org/W2964157492","https://openalex.org/W2964218467","https://openalex.org/W2964343881","https://openalex.org/W2965729941","https://openalex.org/W2989161706","https://openalex.org/W2990205821","https://openalex.org/W2999458807","https://openalex.org/W3001982252","https://openalex.org/W3034438741","https://openalex.org/W3034467781","https://openalex.org/W3034925352","https://openalex.org/W3035295069","https://openalex.org/W3049318984","https://openalex.org/W3094664776","https://openalex.org/W3106949330","https://openalex.org/W3108819577","https://openalex.org/W3109120382","https://openalex.org/W3122031519","https://openalex.org/W3153847062","https://openalex.org/W3158344581","https://openalex.org/W3160550216","https://openalex.org/W3162565403","https://openalex.org/W3170630188","https://openalex.org/W3174851543","https://openalex.org/W3175373394","https://openalex.org/W3177322837","https://openalex.org/W3182236906","https://openalex.org/W3183673520","https://openalex.org/W3191182849","https://openalex.org/W3192871594","https://openalex.org/W3194816901","https://openalex.org/W3199436088","https://openalex.org/W3200949949","https://openalex.org/W3201994930","https://openalex.org/W3202424564","https://openalex.org/W3206968953","https://openalex.org/W3212622989","https://openalex.org/W4200318028","https://openalex.org/W4200631531","https://openalex.org/W4212847381","https://openalex.org/W4220784021","https://openalex.org/W4221047067","https://openalex.org/W4225692545","https://openalex.org/W4226495185","https://openalex.org/W4283827327","https://openalex.org/W4285184858","https://openalex.org/W4285248811","https://openalex.org/W4285249134","https://openalex.org/W4285820148","https://openalex.org/W4289752563","https://openalex.org/W4293812118","https://openalex.org/W4297399525","https://openalex.org/W4297461910","https://openalex.org/W4312271117","https://openalex.org/W4312293671","https://openalex.org/W4312510454","https://openalex.org/W4312732475","https://openalex.org/W4312757006","https://openalex.org/W4312845411","https://openalex.org/W4313044016","https://openalex.org/W4313171270","https://openalex.org/W4390872868","https://openalex.org/W6631190155","https://openalex.org/W6759534164","https://openalex.org/W6763509872","https://openalex.org/W6784713722","https://openalex.org/W6796505553","https://openalex.org/W6796524941"],"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":{"Existing":[0],"methods":[1],"for":[2,166,186],"video":[3],"object":[4],"segmentation":[5],"(VOS)":[6],"have":[7],"achieved":[8],"significant":[9],"success":[10],"by":[11,60,157,190],"performing":[12],"semantic":[13,38,94,100],"guidance,":[14],"spatial":[15,33,79,86,160],"constraint,":[16,34],"or":[17],"temporal":[18,35,120],"consistency.":[19],"However,":[20],"VOS":[21,59],"still":[22],"remains":[23],"highly":[24],"challenging":[25],"because":[26],"it":[27],"is":[28,81,96,114],"difficult":[29],"to":[30,57,83,98,116,148,177],"collaboratively":[31],"leverage":[32],"consistency,":[36],"and":[37,211],"guidance":[39],"while":[40,66],"reducing":[41],"redundant":[42],"information.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,140,171],"propose":[48],"an":[49],"efficient":[50],"unified":[51,71,187],"spatio-temporal":[52,64,72],"dynamic":[53,174],"routing":[54],"(STDR)":[55],"framework":[56],"address":[58],"achieving":[61],"a":[62,126,142,173],"better":[63],"balance":[65],"avoiding":[67],"redundancy.":[68],"Specifically,":[69],"our":[70,183,194],"modeling":[73],"contains":[74],"three":[75,184],"paths:":[76],"1)":[77],"short-term":[78],"path":[80,95,113],"employed":[82],"mine":[84],"the":[85,89,103,119,135,150,180,191,203],"constraints":[87],"from":[88,102,163],"previous":[90],"frame;":[91],"2)":[92],"long-term":[93],"used":[97],"capture":[99],"cues":[101],"first":[104],"reference":[105],"frame":[106],"with":[107,125,153,199],"ground-truth":[108],"labels;":[109],"3)":[110],"memory":[111,128,145,152,168],"queue":[112],"designed":[115],"efficiently":[117],"exploit":[118,149],"consistency":[121],"of":[122,130,137,182],"middle":[123],"frames":[124,165],"compact":[127],"bank":[129],"constant":[131],"size.":[132],"To":[133],"enhance":[134],"input":[136],"each":[138,167],"path,":[139],"introduce":[141],"progressive":[143],"contextual":[144,161],"enhancement":[146],"module":[147,176],"contextualized":[151],"growing":[154],"receptive":[155],"fields":[156],"progressively":[158],"aggregating":[159],"information":[162],"adjacent":[164],"frame.":[169],"Furthermore,":[170],"design":[172],"memory-routed":[175],"globally":[178],"refine":[179],"outputs":[181],"paths":[185],"modeling.":[188],"Enhanced":[189],"proposed":[192],"modules,":[193],"STDR":[195],"achieves":[196],"state-of-the-art":[197],"performance":[198],"fast":[200],"speed":[201],"on":[202],"DAVIS":[204,206],"2016,":[205],"2017":[207],"Val/Test,":[208],"YouTube-VOS":[209],"2018/2019,":[210],"real-world":[212],"long-video":[213],"benchmarks.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
