{"id":"https://openalex.org/W4399174304","doi":"https://doi.org/10.1145/3660043.3660181","title":"ACTrack: Visual Tracking with K-est Attention and LG Convolution","display_name":"ACTrack: Visual Tracking with K-est Attention and LG Convolution","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399174304","doi":"https://doi.org/10.1145/3660043.3660181"},"language":"en","primary_location":{"id":"doi:10.1145/3660043.3660181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","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/A5085294854","display_name":"Xuli Luo","orcid":"https://orcid.org/0009-0001-9641-5790"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuli Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068959744","display_name":"Yu Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Yao","raw_affiliation_strings":["Hangzhou Zhiyuan Research Institute Co., Ltd, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Zhiyuan Research Institute Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698096","display_name":"Jianhui Guo","orcid":"https://orcid.org/0000-0001-5266-1423"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Guo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028886049","display_name":"Yuxuan Liu","orcid":"https://orcid.org/0009-0002-6142-5670"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026551135","display_name":"Liangkang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangkang Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085294854"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22450726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"772","last_page":"780"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9900000095367432,"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/T11019","display_name":"Image Enhancement Techniques","score":0.98580002784729,"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8262063264846802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7196794152259827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095017433166504},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5914404988288879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5649577379226685},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5618187189102173},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5447990298271179},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5049129128456116},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4881337583065033},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4550096392631531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45347267389297485},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4503291845321655},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.24681460857391357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11777597665786743}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8262063264846802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7196794152259827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095017433166504},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5914404988288879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5649577379226685},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5618187189102173},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5447990298271179},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5049129128456116},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4881337583065033},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4550096392631531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45347267389297485},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4503291845321655},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.24681460857391357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11777597665786743},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660043.3660181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2794744029","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2962766617","https://openalex.org/W2963534981","https://openalex.org/W3035211844","https://openalex.org/W3035460038","https://openalex.org/W3131500599","https://openalex.org/W3167536469","https://openalex.org/W3168663926","https://openalex.org/W3203857058","https://openalex.org/W3204554907","https://openalex.org/W3205280353","https://openalex.org/W4214759957","https://openalex.org/W4226224676","https://openalex.org/W4255556797","https://openalex.org/W4312255167","https://openalex.org/W4312350600","https://openalex.org/W4312516520","https://openalex.org/W4312519354","https://openalex.org/W4312821902","https://openalex.org/W4313159533","https://openalex.org/W6600005967","https://openalex.org/W6600018615","https://openalex.org/W6604082056","https://openalex.org/W6605991194","https://openalex.org/W6611043879"],"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/W1765993298","https://openalex.org/W2272545788"],"abstract_inverted_index":{"In":[0,81],"visual":[1],"object":[2],"tracking":[3,77,137,175,178],"tasks,":[4],"the":[5,22,28,33,37,49,57,68,101,111,117,124,144,177,192],"long-range":[6,23],"dependencies":[7,55,64],"between":[8],"image":[9,26,41],"features":[10],"are":[11],"critical":[12],"for":[13],"target":[14,126],"localization.":[15],"Due":[16],"to":[17,20,52,121,186],"its":[18],"ability":[19],"capture":[21,53],"relationships":[24],"of":[25,40,70,149,180,188],"features,":[27],"attention":[29,50,102,119,193],"mechanism":[30,51,103,120],"has":[31],"replaced":[32],"convolution":[34,112,142],"operation":[35],"as":[36],"dominant":[38],"way":[39],"representation":[42,91,98,108,146],"learning.":[43],"However,":[44],"previous":[45],"Transformer-based":[46],"trackers":[47,160,189],"use":[48],"feature":[54,63,90,97,107],"from":[56,131],"global":[58,96],"perspective,":[59],"inevitably":[60],"ignoring":[61],"local":[62,106,145],"and":[65,72,88,128,165],"therefore":[66],"reducing":[67],"discriminability":[69],"foreground":[71],"background,":[73],"resulting":[74],"in":[75,78],"unreliable":[76],"complex":[79],"sceneries.":[80],"our":[82,181],"work,":[83],"we":[84,115],"propose":[85],"a":[86,95,105],"novel":[87],"lightweight":[89,140],"approach":[92],"that":[93,187],"combines":[94],"based":[99,109],"on":[100,110,123,161],"with":[104],"operation.":[113],"Additionally,":[114],"employ":[116],"K-est":[118],"focus":[122],"primary":[125],"information":[127],"mitigate":[129],"interference":[130],"secondary":[132],"background":[133],"information,":[134],"thus":[135],"improving":[136],"performance.":[138],"Furthermore,":[139],"LG":[141],"enhances":[143],"by":[147],"virtue":[148],"inductive":[150],"bias.":[151],"Our":[152],"proposed":[153],"tracker,":[154],"named":[155],"ACTrack,":[156],"outperforms":[157],"all":[158],"state-of-the-art":[159],"GOT-10k,":[162],"LaSOT,":[163],"TrackingNet,":[164],"UAV123":[166],"datasets,":[167],"running":[168],"at":[169],"38":[170],"FPS.":[171],"Notably,":[172],"without":[173],"compromising":[174],"speed,":[176],"performance":[179],"ACTrack":[182],"is":[183],"significantly":[184],"superior":[185],"using":[190],"only":[191],"mechanism.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
