{"id":"https://openalex.org/W3208405558","doi":"https://doi.org/10.1109/itsc48978.2021.9565074","title":"SiamPolar: Realtime Video Object Segmentation with Polar Representation in Traffic Scenes","display_name":"SiamPolar: Realtime Video Object Segmentation with Polar Representation in Traffic Scenes","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3208405558","doi":"https://doi.org/10.1109/itsc48978.2021.9565074","mag":"3208405558"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9565074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9565074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","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/A5101428527","display_name":"Yuhui Hong","orcid":"https://orcid.org/0000-0002-5647-9714"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Hong","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026770433","display_name":"Yaochen Li","orcid":"https://orcid.org/0000-0001-5741-5280"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochen Li","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007783402","display_name":"Chao Zhu","orcid":"https://orcid.org/0000-0001-5993-4252"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhu","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048357136","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0001-8982-8223"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108097210","display_name":"Yuehu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehu Liu","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13590103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"2841","last_page":"2846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7864797115325928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.74217689037323},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7086963057518005},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6377352476119995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6081941723823547},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5825256109237671},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5726816654205322},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.562811553478241},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4863312840461731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4640015959739685},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4453990161418915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29177188873291016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864797115325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.74217689037323},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7086963057518005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6377352476119995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6081941723823547},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5825256109237671},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5726816654205322},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.562811553478241},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4863312840461731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4640015959739685},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4453990161418915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29177188873291016},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9565074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9565074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6019617955","display_name":null,"funder_award_id":"61803298,61973245","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1904248166","https://openalex.org/W2016163842","https://openalex.org/W2030346542","https://openalex.org/W2034740917","https://openalex.org/W2138682569","https://openalex.org/W2463175074","https://openalex.org/W2467181293","https://openalex.org/W2470139095","https://openalex.org/W2470394683","https://openalex.org/W2498497635","https://openalex.org/W2562457735","https://openalex.org/W2598666589","https://openalex.org/W2799157347","https://openalex.org/W2907536214","https://openalex.org/W2911981226","https://openalex.org/W2916797271","https://openalex.org/W2962825871","https://openalex.org/W2962858109","https://openalex.org/W2963227409","https://openalex.org/W2963253279","https://openalex.org/W2963732700","https://openalex.org/W2964040697","https://openalex.org/W3011951626","https://openalex.org/W3034826836","https://openalex.org/W6720898849","https://openalex.org/W6743811873"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2055243143","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2964954556","https://openalex.org/W2890372105"],"abstract_inverted_index":{"Video":[0],"object":[1,38],"segmentation":[2,39],"(VOS)":[3],"is":[4,68,76],"an":[5,72],"essential":[6],"part":[7,117],"of":[8,93,101,118],"intelligent":[9],"transportation":[10],"systems":[11],"(ITS).":[12],"In":[13,29,136],"the":[14,58,65,80,88,91,94,99,115,119,125,137,146],"real":[15,138],"traffic":[16,139],"scenes,":[17],"not":[18],"only":[19],"stable":[20],"accuracy":[21],"but":[22],"also":[23],"real-time":[24,36],"speed":[25,67],"are":[26,112],"important":[27],"metrics.":[28],"this":[30,106],"paper,":[31],"we":[32,97],"propose":[33,98],"a":[34,43,47],"semi-supervised":[35],"video":[37],"method":[40,55],"based":[41],"on":[42,105,124],"Siamese":[44,74],"network":[45,75],"with":[46],"novel":[48],"polar":[49,53],"representation":[50,54],"method.":[51],"This":[52],"could":[56],"reduce":[57,87],"parameters":[59],"for":[60],"encoding":[61],"masks,":[62],"so":[63],"that":[64,129],"inference":[66],"enhanced":[69],"significantly.":[70],"Besides,":[71],"asymmetric":[73],"designed":[77,113],"to":[78],"extract":[79],"features":[81],"from":[82],"different":[83],"spatial":[84],"scales.":[85],"To":[86],"antagonism":[89],"among":[90],"branches":[92],"head":[95],"part,":[96],"idea":[100],"peeling":[102],"convolution.":[103],"Based":[104],"idea,":[107],"repeated":[108],"cross-correlation":[109],"and":[110,134],"semi-FPN":[111],"as":[114],"neck":[116],"neural":[120],"network.":[121],"The":[122],"experiments":[123],"DAVIS-2016":[126],"dataset":[127],"demonstrate":[128],"SiamPolar":[130,144],"achieves":[131],"71.4%":[132],"J-mean":[133],"59.2fps.":[135],"scene":[140],"dataset,":[141,143],"TSD-max":[142],"performs":[145],"80.5%":[147],"J-mean.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
