{"id":"https://openalex.org/W4312392346","doi":"https://doi.org/10.1109/tmm.2022.3223213","title":"DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned Learning","display_name":"DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned Learning","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4312392346","doi":"https://doi.org/10.1109/tmm.2022.3223213"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3223213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3223213","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5002433117","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0002-0846-6943"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458457","display_name":"Haijun Zhang","orcid":"https://orcid.org/0000-0002-1648-0227"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1648-0227","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102972678","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0001-8391-8279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["SKLMS Laboratory, State Grid Shaanxi Electric Power Research Institute, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLMS Laboratory, State Grid Shaanxi Electric Power Research Institute, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997806","display_name":"Jianyang Shi","orcid":"https://orcid.org/0000-0002-9151-6058"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Shi","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367497","display_name":"Yanfeng Zhang","orcid":"https://orcid.org/0009-0009-2232-8799"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731724","display_name":"Q. M. Jonathan Wu","orcid":"https://orcid.org/0000-0002-5208-7975"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. M. Jonathan Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5208-7975","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4894,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63525969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"7545","last_page":"7558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9652000069618225,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9634000062942505,"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":0.8273074626922607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823809027671814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686050534248352},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5661516189575195},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5366951823234558},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5139062404632568},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4813459813594818},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4688849151134491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4405858516693115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43679893016815186},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41430768370628357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41361477971076965},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3038939833641052},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2670602798461914}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8273074626922607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823809027671814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686050534248352},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5661516189575195},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5366951823234558},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5139062404632568},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4813459813594818},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4688849151134491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4405858516693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43679893016815186},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41430768370628357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41361477971076965},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3038939833641052},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2670602798461914},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3223213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3223213","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G31233193","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u7684\u5927\u670d\u52a1\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61832004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4107755031","display_name":null,"funder_award_id":"2021B1515020088","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5840073679","display_name":"\u5185\u5bb9\u611f\u77e5\u7684\u89c6\u94fe\u5b66\u4e60\u53ca\u4f18\u5316\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972112","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W148669889","https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2518876086","https://openalex.org/W2605173812","https://openalex.org/W2794744029","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2962766617","https://openalex.org/W2963351448","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2970575838","https://openalex.org/W2982770724","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3009294634","https://openalex.org/W3016979720","https://openalex.org/W3034617042","https://openalex.org/W3035211844","https://openalex.org/W3035396860","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3035672751","https://openalex.org/W3039148474","https://openalex.org/W3092462694","https://openalex.org/W3107473354","https://openalex.org/W3108235634","https://openalex.org/W3108519869","https://openalex.org/W3108637696","https://openalex.org/W3108849448","https://openalex.org/W3109381875","https://openalex.org/W3109466111","https://openalex.org/W3120031785","https://openalex.org/W3162457465","https://openalex.org/W3167536469","https://openalex.org/W3168663926","https://openalex.org/W3172087149","https://openalex.org/W3172355732","https://openalex.org/W3174225630","https://openalex.org/W3203857058","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3214586131","https://openalex.org/W4214506192","https://openalex.org/W4214507171","https://openalex.org/W4214759957","https://openalex.org/W4214872590","https://openalex.org/W4285603016","https://openalex.org/W4312516520","https://openalex.org/W4312532041","https://openalex.org/W4320036892","https://openalex.org/W6631190155","https://openalex.org/W6784094891","https://openalex.org/W6795704626"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Current":[0],"point-based":[1,73],"trackers":[2,74],"are":[3],"usually":[4],"implemented":[5],"by":[6],"the":[7,16,26,37,69,97,100,115,123,142,149,153,164,182],"following":[8],"two":[9,38],"branches:":[10],"a":[11,21,33,43,83,88,108,127,157],"classification":[12,101,116],"branch":[13,23],"for":[14,24,60],"predicting":[15],"target":[17],"candidate":[18],"locations":[19],"and":[20,51,56,75,87,102,117,144,169],"regression":[22,103,118],"regressing":[25],"tracking":[27,128,154,190],"box,":[28],"which":[29],"may":[30],"lead":[31],"to":[32,48,95,120,139,162],"spatial":[34],"misalignment":[35],"between":[36],"tasks.":[39,104],"Meanwhile,":[40],"they":[41],"ignore":[42],"meaningful":[44],"exploration":[45],"on":[46,148,188],"how":[47],"define":[49],"positive":[50,143],"negative":[52,145],"samples":[53,146],"during":[54],"training":[55,135],"explicit":[57],"border":[58,109,124],"information":[59],"accurate":[61],"box":[62],"prediction.":[63],"In":[64],"this":[65],"research,":[66],"we":[67,81,106,131],"investigate":[68],"key":[70,78],"issues":[71],"of":[72,99,126,152,166],"unlock":[76],"their":[77],"limitations.":[79],"First,":[80],"design":[82],"novel":[84],"task-aligned":[85,93],"component":[86,112],"new":[89],"loss":[90],"function,":[91],"named":[92],"loss,":[94],"learn":[96],"alignment":[98,110],"Second,":[105],"introduce":[107],"(BorderAlign)":[111],"in":[113],"both":[114],"branches":[119],"effectively":[121],"exploit":[122],"features":[125,168],"target.":[129],"Third,":[130],"develop":[132],"an":[133],"adaptive":[134],"sample":[136],"assignment":[137],"(ATSA)":[138],"adaptively":[140],"divide":[141],"based":[147],"statistical":[150],"characteristics":[151],"object.":[155],"Finally,":[156],"deformable":[158],"transformer":[159],"is":[160],"developed":[161],"enhance":[163],"representations":[165],"search":[167],"explore":[170],"rich":[171],"temporal":[172],"contexts":[173],"among":[174],"video":[175],"frames.":[176],"Extensive":[177],"experimental":[178],"results":[179],"demonstrate":[180],"that":[181],"proposed":[183],"tracker":[184],"achieves":[185],"state-of-the-art":[186],"performance":[187],"six":[189],"benchmark":[191],"datasets.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
