{"id":"https://openalex.org/W4293519322","doi":"https://doi.org/10.1109/icme52920.2022.9859780","title":"A General Data Augmentation Strategy for Siamese Object Tracking","display_name":"A General Data Augmentation Strategy for Siamese Object Tracking","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519322","doi":"https://doi.org/10.1109/icme52920.2022.9859780"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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/A5074756926","display_name":"Chaolin Pan","orcid":"https://orcid.org/0000-0001-9827-6352"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaolin Pan","raw_affiliation_strings":["Nanchang Hangkong University,China","Nanchang Hangkong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University,China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Nanchang Hangkong University, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068628314","display_name":"Jun Chu","orcid":"https://orcid.org/0000-0003-2408-3982"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chu","raw_affiliation_strings":["Nanchang Hangkong University,China","Key Laboratory of Artificial Intelligence, Ministry of Education, China","Nanchang Hangkong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University,China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Key Laboratory of Artificial Intelligence, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Nanchang Hangkong University, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768451","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0002-9676-603X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["Nanchang Hangkong University,China","Nanchang Hangkong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University,China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Nanchang Hangkong University, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010371","display_name":"Lu Leng","orcid":"https://orcid.org/0000-0002-5667-224X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Leng","raw_affiliation_strings":["Nanchang Hangkong University,China","Nanchang Hangkong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University,China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Nanchang Hangkong University, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100786221","display_name":"Jun Miao","orcid":"https://orcid.org/0000-0002-3258-3322"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Miao","raw_affiliation_strings":["Nanchang Hangkong University,China","Nanchang Hangkong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University,China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Nanchang Hangkong University, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.118,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40406048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9896000027656555,"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":0.9854000210762024,"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/discriminative-model","display_name":"Discriminative model","score":0.8389264345169067},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7275236248970032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242703437805176},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6452871561050415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6353099346160889},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5978637933731079},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5379136204719543},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5371603965759277},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5123428106307983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46264445781707764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4616720676422119},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4262343645095825},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41098272800445557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37919047474861145},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.1602824628353119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14006230235099792}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8389264345169067},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7275236248970032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242703437805176},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6452871561050415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353099346160889},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5978637933731079},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5379136204719543},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5371603965759277},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5123428106307983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46264445781707764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4616720676422119},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4262343645095825},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41098272800445557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37919047474861145},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.1602824628353119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14006230235099792},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G6460204576","display_name":null,"funder_award_id":"62162045,61866028","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2592463526","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2998027361","https://openalex.org/W3001584168","https://openalex.org/W3035211844","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3091782770","https://openalex.org/W3108519869","https://openalex.org/W3110501021","https://openalex.org/W3167762749","https://openalex.org/W3168663926","https://openalex.org/W3169647498","https://openalex.org/W3172670627","https://openalex.org/W3173344965","https://openalex.org/W3174225630","https://openalex.org/W3175891031","https://openalex.org/W3176420923","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3214586131","https://openalex.org/W4214710672","https://openalex.org/W4243520228","https://openalex.org/W6639102338","https://openalex.org/W6720898849","https://openalex.org/W6726654379","https://openalex.org/W6753818355","https://openalex.org/W6755863804","https://openalex.org/W6794391321"],"related_works":["https://openalex.org/W3187478796","https://openalex.org/W3203946263","https://openalex.org/W4214506192","https://openalex.org/W2086383524","https://openalex.org/W3036550512","https://openalex.org/W4307010368","https://openalex.org/W2789220062","https://openalex.org/W2732308154","https://openalex.org/W2944661354","https://openalex.org/W2534746541"],"abstract_inverted_index":{"Siamese-based":[0],"ResNet-driven":[1,42],"trackers":[2,143],"have":[3],"made":[4],"great":[5],"success":[6],"in":[7,37,84,88],"recent":[8],"years.":[9],"However,":[10],"the":[11,16,31,34,38,47,61,80,93,104,108,111,116,137],"less":[12],"discriminative":[13],"features":[14],"inhibit":[15],"improvements":[17],"of":[18,33,41,64,110],"these":[19],"trackers.":[20,43],"In":[21],"this":[22],"work,":[23],"we":[24,68,97],"discover":[25],"that":[26,136],"a":[27,70],"possible":[28],"reason":[29],"is":[30],"emergence":[32],"gridding":[35,51],"artifacts":[36],"deep":[39,48],"layers":[40,49],"We":[44],"naively":[45],"remove":[46],"with":[50],"artifacts,":[52],"which":[53],"reduces":[54],"parameters":[55],"by":[56,75,121],"nearly":[57],"69%":[58],"and":[59,115,133,144],"improves":[60],"tracking":[62],"performance":[63],"small":[65],"objects.":[66],"Then,":[67],"design":[69],"parameter-free":[71],"feature":[72,112],"superposition":[73,113],"module":[74,114],"adding":[76],"different":[77],"samples":[78,83],"into":[79],"first":[81],"half":[82],"each":[85],"mini-batch":[86],"iteration":[87],"embedding":[89],"space":[90],"to":[91,102],"increase":[92],"semantic":[94],"information.":[95],"Further,":[96],"introduce":[98],"an":[99],"auxiliary":[100,117],"loss":[101,118],"reduce":[103],"learning":[105],"difficulty.":[106],"Finally,":[107],"generalization":[109],"are":[119],"verified":[120],"ablation":[122],"studies.":[123],"Experiments":[124],"on":[125],"challenging":[126],"benchmarks,":[127],"including":[128],"OTB2015,":[129],"VOT2019,":[130],"UAV123,":[131],"LaSOT,":[132],"TrackingNet,":[134],"demonstrate":[135],"proposed":[138],"method":[139],"outperforms":[140],"many":[141],"SOTA":[142],"achieves":[145],"leading":[146],"performance.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}