{"id":"https://openalex.org/W2987230977","doi":"https://doi.org/10.1109/tase.2019.2948402","title":"Adversarial Feature Sampling Learning for Efficient Visual Tracking","display_name":"Adversarial Feature Sampling Learning for Efficient Visual Tracking","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W2987230977","doi":"https://doi.org/10.1109/tase.2019.2948402","mag":"2987230977"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2019.2948402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2948402","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5016850606","display_name":"Yingjie Yin","orcid":"https://orcid.org/0000-0003-1797-199X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Yingjie Yin","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016826662","display_name":"De Xu","orcid":"https://orcid.org/0000-0002-7221-1654"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De Xu","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026151620","display_name":"Xingang Wang","orcid":"https://orcid.org/0000-0002-6851-0109"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Wang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016850606"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7792214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"847","last_page":"857"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9555000066757202,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8271053433418274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008110284805298},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6437497735023499},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.606907844543457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6014868021011353},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5615860819816589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5315038561820984},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5038873553276062},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4985637664794922},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48304420709609985},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4776495695114136},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4708929657936096},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4673735499382019},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43522465229034424},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4151790142059326},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.37463608384132385},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3642094135284424}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8271053433418274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008110284805298},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6437497735023499},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.606907844543457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6014868021011353},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5615860819816589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5315038561820984},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5038873553276062},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4985637664794922},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48304420709609985},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4776495695114136},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4708929657936096},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4673735499382019},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43522465229034424},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4151790142059326},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.37463608384132385},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3642094135284424},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/tase.2019.2948402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2948402","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3745603784","display_name":null,"funder_award_id":"61703398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4376736541","display_name":null,"funder_award_id":"61733004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6033411719","display_name":null,"funder_award_id":"2018YFD0400902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6389600489","display_name":null,"funder_award_id":"61573349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6639457360","display_name":null,"funder_award_id":"XJ2017031","funder_id":"https://openalex.org/F4320323540","funder_display_name":"Society of Hong Kong Scholars"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323540","display_name":"Society of Hong Kong Scholars","ror":"https://ror.org/03gffcv79"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W100367037","https://openalex.org/W182940129","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1903029394","https://openalex.org/W1915599933","https://openalex.org/W1955741794","https://openalex.org/W1975892281","https://openalex.org/W2024657922","https://openalex.org/W2089961441","https://openalex.org/W2099471712","https://openalex.org/W2126302311","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2186330282","https://openalex.org/W2194002514","https://openalex.org/W2214352687","https://openalex.org/W2235034809","https://openalex.org/W2244956674","https://openalex.org/W2343187456","https://openalex.org/W2380373457","https://openalex.org/W2408241409","https://openalex.org/W2412782625","https://openalex.org/W2469582947","https://openalex.org/W2473868734","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2558899534","https://openalex.org/W2565639579","https://openalex.org/W2610871254","https://openalex.org/W2625219738","https://openalex.org/W2737572441","https://openalex.org/W2738318237","https://openalex.org/W2740685955","https://openalex.org/W2742165450","https://openalex.org/W2744900881","https://openalex.org/W2776581970","https://openalex.org/W2778764040","https://openalex.org/W2799148928","https://openalex.org/W2883580176","https://openalex.org/W2894682667","https://openalex.org/W2903253065","https://openalex.org/W2916780012","https://openalex.org/W2950800384","https://openalex.org/W2962835968","https://openalex.org/W2962989418","https://openalex.org/W2963150697","https://openalex.org/W2963249584","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964198573","https://openalex.org/W2964242925","https://openalex.org/W3102624093","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6638992375","https://openalex.org/W6679027886","https://openalex.org/W6714138976","https://openalex.org/W6726083677"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2954509079","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"The":[0],"tracking-by-detection":[1,160],"tracking":[2,55,152],"framework":[3,31],"usually":[4],"consists":[5],"of":[6,108,159],"two":[7],"stages:":[8],"drawing":[9],"samples":[10,35,92,110],"around":[11,85],"the":[12,21,37,44,86,96,105,112,122,131,147,157],"target":[13,22,87,132],"object":[14,23,88],"and":[15,40,53,91,125],"classifying":[16],"each":[17],"sample":[18],"as":[19,89],"either":[20],"or":[24],"background.":[25],"Current":[26],"popular":[27],"trackers":[28],"under":[29],"this":[30,58,71],"typically":[32],"draw":[33],"many":[34],"from":[36,95],"raw":[38],"image":[39,84],"feed":[41],"them":[42],"into":[43],"deep":[45],"neural":[46,75],"networks,":[47],"resulting":[48],"in":[49,111],"high":[50],"computational":[51],"burden":[52],"low":[54],"speed.":[56],"In":[57],"article,":[59],"we":[60,120],"propose":[61],"an":[62],"adversarial":[63,137],"feature":[64,97,113],"sampling":[65],"learning":[66],"(AFSL)":[67],"method":[68],"to":[69,128],"address":[70],"problem.":[72],"A":[73],"convolutional":[74],"network":[76],"is":[77],"designed,":[78],"which":[79,115],"takes":[80],"only":[81],"one":[82],"cropped":[83],"input,":[90],"are":[93],"collected":[94],"maps":[98],"with":[99],"spatial":[100,118],"bilinear":[101],"resampling.":[102],"To":[103],"enrich":[104],"appearance":[106],"variations":[107],"positive":[109],"space,":[114],"has":[116],"limited":[117],"resolution,":[119],"fuse":[121],"high-level":[123],"features":[124,127],"low-level":[126],"better":[129],"describe":[130],"by":[133],"using":[134],"a":[135],"generative":[136],"network.":[138],"Extensive":[139],"experiments":[140],"on":[141],"benchmark":[142],"data":[143],"sets":[144],"demonstrate":[145],"that":[146],"proposed":[148],"ASFL":[149],"achieves":[150],"leading":[151],"accuracy":[153],"while":[154],"significantly":[155],"accelerating":[156],"speed":[158],"trackers.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
