{"id":"https://openalex.org/W3092472005","doi":"https://doi.org/10.1109/tnnls.2020.3018025","title":"Antidecay LSTM for Siamese Tracking With Adversarial Learning","display_name":"Antidecay LSTM for Siamese Tracking With Adversarial Learning","publication_year":2020,"publication_date":"2020-10-08","ids":{"openalex":"https://openalex.org/W3092472005","doi":"https://doi.org/10.1109/tnnls.2020.3018025","mag":"3092472005","pmid":"https://pubmed.ncbi.nlm.nih.gov/33031042"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3018025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3018025","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5090607458","display_name":"Fei Zhao","orcid":"https://orcid.org/0000-0002-8198-3787"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Zhao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458288","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0001-9145-5913"},"institutions":[{"id":"https://openalex.org/I4210104233","display_name":"China Electronics Corporation (China)","ror":"https://ror.org/00vsv8c52","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210104233"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Research and Development Center, China National Electronics Import & Export Corporation (CEIEC), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research and Development Center, China National Electronics Import & Export Corporation (CEIEC), Beijing, China","institution_ids":["https://openalex.org/I4210104233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107949456","display_name":"Yi Wu","orcid":"https://orcid.org/0009-0006-5822-9010"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Wormpex AI Research, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Wormpex AI Research, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938150","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0003-4976-3095"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Shenzhen Infinova Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Infinova Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"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"]},{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","ObjectEye Inc., Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"ObjectEye Inc., Beijing, China","institution_ids":[]},{"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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090607458"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150","https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":1.954,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88631781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":"10","first_page":"4475","last_page":"4489"},"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":0.9764000177383423,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8394923806190491},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8307871222496033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7943762540817261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6857686042785645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6297541260719299},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6253485083580017},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5355173945426941},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5260220170021057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509149968624115},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4859065115451813},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4679001569747925},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4325483441352844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4184650480747223},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.37021559476852417},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2029109001159668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394923806190491},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8307871222496033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7943762540817261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6857686042785645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6297541260719299},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6253485083580017},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5355173945426941},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5260220170021057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509149968624115},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4859065115451813},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4679001569747925},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4325483441352844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4184650480747223},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.37021559476852417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2029109001159668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3018025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3018025","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33031042","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33031042","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1424013176","display_name":null,"funder_award_id":"61976210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3848044382","display_name":null,"funder_award_id":"61702510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5582725067","display_name":null,"funder_award_id":"61772527","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5660916271","display_name":null,"funder_award_id":"61806200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8343971092","display_name":null,"funder_award_id":"61876086","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":90,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W639708223","https://openalex.org/W764651262","https://openalex.org/W1485009520","https://openalex.org/W1533861849","https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1915785815","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2064675550","https://openalex.org/W2099471712","https://openalex.org/W2110485445","https://openalex.org/W2117539524","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2408241409","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2560474170","https://openalex.org/W2570343428","https://openalex.org/W2584265939","https://openalex.org/W2607037079","https://openalex.org/W2611104282","https://openalex.org/W2613718673","https://openalex.org/W2614241281","https://openalex.org/W2737572441","https://openalex.org/W2738318237","https://openalex.org/W2738588019","https://openalex.org/W2740685955","https://openalex.org/W2742165450","https://openalex.org/W2753569305","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2799148928","https://openalex.org/W2800990595","https://openalex.org/W2884930120","https://openalex.org/W2886910176","https://openalex.org/W2894176037","https://openalex.org/W2895588569","https://openalex.org/W2898200825","https://openalex.org/W2905115762","https://openalex.org/W2916780012","https://openalex.org/W2917353338","https://openalex.org/W2917435394","https://openalex.org/W2927172139","https://openalex.org/W2954137266","https://openalex.org/W2955747520","https://openalex.org/W2962778460","https://openalex.org/W2962824803","https://openalex.org/W2962835968","https://openalex.org/W2962922818","https://openalex.org/W2962947361","https://openalex.org/W2962989418","https://openalex.org/W2963037989","https://openalex.org/W2963073614","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963249584","https://openalex.org/W2963470893","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2963791342","https://openalex.org/W2963854930","https://openalex.org/W2963873961","https://openalex.org/W2964099559","https://openalex.org/W2964111344","https://openalex.org/W2964121744","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W3035571898","https://openalex.org/W3102624093","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6714138976","https://openalex.org/W6726083677","https://openalex.org/W6733472783","https://openalex.org/W6734074887"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W178060743","https://openalex.org/W2909390414"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,96,128],"is":[2,16,185],"one":[3],"of":[4,37,52,77,90,118,134,154,163,210,231],"the":[5,20,23,35,38,41,58,75,78,81,88,91,95,103,110,116,119,126,135,144,152,155,161,164,170,179,190,195,205,208,213,218,224,228,232,246],"fundamental":[6],"tasks":[7],"in":[8,22,26,40,65,80,122,178],"computer":[9],"vision":[10],"with":[11,139,146],"many":[12],"challenges,":[13],"and":[14,28,223,258],"it":[15],"mainly":[17],"due":[18],"to":[19,142,203],"changes":[21],"target's":[24,92],"appearance":[25,36,59,76,166],"temporal":[27,180],"spatial":[29,42,147],"domains.":[30],"Recently,":[31],"numerous":[32],"trackers":[33,55,73,248],"model":[34,74],"targets":[39,79],"domain":[43],"well":[44],"by":[45,84,194],"utilizing":[46],"deep":[47],"convolutional":[48,140],"features.":[49],"However,":[50],"most":[51],"these":[53],"CNN-based":[54],"only":[56],"take":[57],"variations":[60],"between":[61],"two":[62,123],"consecutive":[63],"frames":[64],"a":[66],"video":[67],"sequence":[68],"into":[69],"consideration.":[70],"Besides,":[71],"some":[72],"long":[82,105,175],"term":[83],"applying":[85],"RNN,":[86],"but":[87],"decay":[89,173],"features":[93,145],"degrades":[94],"performance.":[97],"In":[98,158],"this":[99,159],"article,":[100],"we":[101,114,131,150,197],"propose":[102,198],"antidecay":[104],"short-term":[106],"memory":[107],"(AD-LSTM)":[108],"for":[109,125,189],"Siamese":[111,214],"tracking.":[112],"Especially,":[113],"extend":[115],"architecture":[117,153],"standard":[120],"LSTM":[121],"aspects":[124],"visual":[127],"task.":[129],"First,":[130],"replace":[132],"all":[133],"fully":[136],"connected":[137],"layers":[138,141],"extract":[143],"structure.":[148],"Second,":[149],"improve":[151],"cell":[156],"unit.":[157],"way,":[160],"information":[162],"target":[165,233],"can":[167,216,226],"flow":[168],"through":[169],"AD-LSTM":[171,225],"without":[172],"as":[174,176],"possible":[177],"domain.":[181],"Meanwhile,":[182],"since":[183],"there":[184],"no":[186],"ground":[187],"truth":[188],"feature":[191,229],"maps":[192,220,230],"generated":[193],"AD-LSTM,":[196],"an":[199],"adversarial":[200,211],"learning":[201],"algorithm":[202],"optimize":[204],"AD-LSTM.":[206],"With":[207],"help":[209],"learning,":[212],"network":[215],"generate":[217,227],"response":[219],"more":[221,234],"accurately,":[222],"robustly.":[235],"The":[236],"experimental":[237],"results":[238],"show":[239],"that":[240],"our":[241],"tracker":[242],"performs":[243],"favorably":[244],"against":[245],"state-of-the-art":[247],"on":[249],"six":[250],"challenging":[251],"benchmarks:":[252],"OTB-100,":[253],"TC-128,":[254],"VOT2016,":[255],"VOT2017,":[256],"GOT-10k,":[257],"TrackingNet.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}