{"id":"https://openalex.org/W2939413932","doi":"https://doi.org/10.1109/icassp.2019.8682985","title":"Complementary Siamese Networks for Robust Visual Tracking","display_name":"Complementary Siamese Networks for Robust Visual Tracking","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939413932","doi":"https://doi.org/10.1109/icassp.2019.8682985","mag":"2939413932"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5047220188","display_name":"Heng Fan","orcid":"https://orcid.org/0000-0002-7033-3690"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Fan","raw_affiliation_strings":["Computer & Information Sciences Department, Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Information Sciences Department, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777701","display_name":"Lu Xu","orcid":"https://orcid.org/0000-0003-3944-2175"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Xu","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064702700","display_name":"Jinhai Xiang","orcid":"https://orcid.org/0000-0002-8923-5302"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Xiang","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"2247","last_page":"2251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9848999977111816,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7563349008560181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445542216300964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087433934211731},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6584653258323669},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6377363204956055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5552534461021423},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5475972890853882},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.543319046497345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5296841859817505},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5178380608558655},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46747443079948425},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4425750970840454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15158560872077942}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7563349008560181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445542216300964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087433934211731},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6584653258323669},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6377363204956055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5552534461021423},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5475972890853882},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.543319046497345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5296841859817505},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5178380608558655},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46747443079948425},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4425750970840454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15158560872077942},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/icassp.2019.8682985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4300000071525574,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W591163031","https://openalex.org/W1195668844","https://openalex.org/W1686810756","https://openalex.org/W1857884451","https://openalex.org/W1955514522","https://openalex.org/W2060814785","https://openalex.org/W2108598243","https://openalex.org/W2126302311","https://openalex.org/W2133564696","https://openalex.org/W2154889144","https://openalex.org/W2155893237","https://openalex.org/W2157364932","https://openalex.org/W2158592639","https://openalex.org/W2214352687","https://openalex.org/W2342873618","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2520477759","https://openalex.org/W2556108308","https://openalex.org/W2599547527","https://openalex.org/W2604793351","https://openalex.org/W2776035257","https://openalex.org/W2962824803","https://openalex.org/W2962835968","https://openalex.org/W2963854930","https://openalex.org/W2964099559","https://openalex.org/W2964111344","https://openalex.org/W2964308564","https://openalex.org/W6637373629","https://openalex.org/W6679434410","https://openalex.org/W6720898849","https://openalex.org/W6735869675"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"In":[0,26,105],"this":[1],"paper,":[2],"we":[3,77],"propose":[4,78],"the":[5,28,49,58,70,107],"novel":[6,80],"complementary":[7,16,121],"Siamese":[8,35,41,122],"networks":[9],"(CoSNet)":[10],"for":[11,64,91],"visual":[12,139],"tracking":[13],"by":[14],"exploiting":[15],"global":[17,34],"and":[18,38,94,109],"local":[19,40,82,92],"representations":[20],"to":[21,47,100],"learn":[22],"a":[23,33,39,79,127,144],"matching":[24,129],"function.":[25],"specific,":[27],"proposed":[29],"CoSNet":[30,125,152],"is":[31],"two-fold:":[32],"network":[36,42],"(GSNet)":[37],"(LSNet).":[43],"The":[44],"GSNet":[45,108],"aims":[46],"match":[48],"target":[50],"with":[51,147],"candidates":[52],"using":[53],"holistic":[54],"representation.":[55],"By":[56,118],"contrast,":[57],"LSNet":[59,110],"explores":[60],"partial":[61],"object":[62,71,89],"representation":[63,93],"matching.":[65,104],"Instead":[66],"of":[67],"simply":[68],"decomposing":[69],"into":[72],"regular":[73],"patches":[74],"in":[75,103,114,138],"LSNet,":[76],"attentional":[81],"part":[83,98],"network,":[84],"which":[85,131],"automatically":[86],"generates":[87],"salient":[88],"parts":[90],"adaptively":[95],"weights":[96],"each":[97],"according":[99],"its":[101],"importance":[102],"CoSNet,":[106],"are":[111],"jointly":[112],"trained":[113],"an":[115],"end-to-end":[116],"manner.":[117],"coupling":[119],"two":[120],"networks,":[123],"our":[124],"learns":[126],"robust":[128],"function":[130],"can":[132],"effectively":[133],"handle":[134],"various":[135],"appearance":[136],"changes":[137],"tracking.":[140],"Extensive":[141],"experiments":[142],"on":[143],"large-scale":[145],"dataset":[146],"100":[148],"sequences":[149],"show":[150],"that":[151],"outperforms":[153],"other":[154],"state-of-the-art":[155],"trackers.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
