{"id":"https://openalex.org/W7164863636","doi":"https://doi.org/10.1145/3805622.3810690","title":"TrackNetV6: A Unified Framework for Lightweight and Robust Fast-Moving Tiny Ball Tracking","display_name":"TrackNetV6: A Unified Framework for Lightweight and Robust Fast-Moving Tiny Ball Tracking","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164863636","doi":"https://doi.org/10.1145/3805622.3810690"},"language":null,"primary_location":{"id":"doi:10.1145/3805622.3810690","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810690","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805622.3810690","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101395803","display_name":"Jizhe Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhe Yu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0008-8365-2317","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004616750","display_name":"Xiya Bu","orcid":"https://orcid.org/0009-0008-8324-2422"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiya Bu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0008-8324-2422","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002476102","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0001-8013-4372"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-8013-4372","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060622132","display_name":"Kaiping Xu","orcid":"https://orcid.org/0000-0001-7388-7878"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiping Xu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7388-7878","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119914509","display_name":"Yifei Cao","orcid":"https://orcid.org/0000-0002-1431-5551"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Cao","raw_affiliation_strings":["dalian university of technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-1431-5551","affiliations":[{"raw_affiliation_string":"dalian university of technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004904800","display_name":"Z Li","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhen Li","raw_affiliation_strings":["dalian university of technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0007-1118-0966","affiliations":[{"raw_affiliation_string":"dalian university of technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94117313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2616","last_page":"2625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.28859999775886536,"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/T11439","display_name":"Video Analysis and Summarization","score":0.28859999775886536,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.18490000069141388,"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.04179999977350235,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/ball","display_name":"Ball (mathematics)","score":0.6725999712944031},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6236000061035156},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5318999886512756},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.46799999475479126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44530001282691956},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3833000063896179},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.35740000009536743},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3124000132083893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715499997138977},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.6725999712944031},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5203999876976013},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3833000063896179},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.35740000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2766000032424927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2558000087738037},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805622.3810690","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810690","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805622.3810690","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810690","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1696351545","https://openalex.org/W1971687548","https://openalex.org/W2142096049","https://openalex.org/W2476548250","https://openalex.org/W2529992474","https://openalex.org/W2619502291","https://openalex.org/W2752782242","https://openalex.org/W2797488090","https://openalex.org/W2986406231","https://openalex.org/W2991404288","https://openalex.org/W3014641072","https://openalex.org/W3109671265","https://openalex.org/W3110562975","https://openalex.org/W3122309393","https://openalex.org/W3167976421","https://openalex.org/W4225510413","https://openalex.org/W4319336445","https://openalex.org/W4353083153","https://openalex.org/W4362654014","https://openalex.org/W4377290775","https://openalex.org/W4382119472","https://openalex.org/W4385834539","https://openalex.org/W4386066266","https://openalex.org/W4387757595","https://openalex.org/W4390478990","https://openalex.org/W4390493495","https://openalex.org/W4392152057","https://openalex.org/W4399598133","https://openalex.org/W4400489598","https://openalex.org/W4401506467","https://openalex.org/W4403054171","https://openalex.org/W4405623877","https://openalex.org/W4406417304","https://openalex.org/W4406739753","https://openalex.org/W4407739952","https://openalex.org/W4408355058","https://openalex.org/W4410966928","https://openalex.org/W4412070978","https://openalex.org/W4413147307","https://openalex.org/W7122359347"],"related_works":[],"abstract_inverted_index":{"Although":[0],"vision-based":[1],"tiny":[2,45],"ball":[3,46,153],"tracking":[4,47],"has":[5],"advanced":[6],"in":[7,66],"specific":[8],"sports,":[9],"existing":[10],"methods":[11],"remain":[12],"heavily":[13],"coupled":[14],"to":[15,55,73],"domain-specific":[16],"distributions,":[17],"severely":[18],"constraining":[19],"cross-domain":[20],"generalization.":[21],"Concurrently,":[22],"lightweight":[23],"designs":[24],"sacrifice":[25],"representational":[26],"capacity,":[27],"while":[28],"high-performance":[29],"models":[30,145],"incur":[31],"prohibitive":[32],"computational":[33],"costs.":[34],"To":[35],"address":[36],"these":[37,107,119],"challenges,":[38],"we":[39,131],"propose":[40],"TrackNetV6,":[41],"a":[42,59,85,100,133,181],"uni\ufb01ed":[43],"fast-moving":[44,152],"framework":[48,57],"that":[49,91,105,176],"reconciles":[50],"e\ufb03ciency":[51],"with":[52],"accuracy.":[53],"Central":[54],"our":[56],"is":[58],"novel":[60],"and":[61,99,163,172],"compact":[62],"decoding":[63],"paradigm":[64,80],"rooted":[65],"the":[67,121,140,146,151,156],"Linear":[68],"Multistep":[69],"Method":[70],"(LMM),":[71],"designed":[72],"supersede":[74],"conventional":[75],"single-step":[76],"feature":[77,125,148],"fusion.":[78],"This":[79],"orchestrates":[81],"two":[82],"core":[83],"components:":[84],"Cross-Scale":[86],"Semantic":[87],"Consensus":[88],"Predictor":[89],"(CSCP)":[90],"distills":[92],"multi-scale":[93],"features":[94],"into":[95,109],"semantic-correlation":[96],"location":[97],"priors,":[98],"Prior-guided":[101],"Context":[102],"Corrector":[103],"(PCC)":[104],"injects":[106],"priors":[108],"current-scale":[110],"mappings":[111],"for":[112,127],"stable":[113],"refinement.":[114],"By":[115],"iteratively":[116],"alternating":[117],"between":[118,159],"components,":[120],"model":[122],"progressively":[123],"strengthens":[124],"representation":[126],"precise":[128],"tracking.":[129],"Furthermore,":[130],"introduce":[132],"Direction-aware":[134],"Dynamic":[135],"Fusion":[136],"(DDF)":[137],"module":[138],"as":[139],"bottleneck":[141],"layer,":[142],"which":[143],"explicitly":[144],"direction-sensitive":[147],"relationships":[149],"of":[150],"by":[154],"synergizing":[155],"dynamic":[157],"interaction":[158],"wavelet-based":[160],"high-frequency":[161],"cues":[162],"deep":[164],"semantics.":[165],"Extensive":[166],"experiments":[167],"across":[168],"badminton,":[169],"table":[170],"tennis,":[171],"tennis":[173],"benchmarks":[174],"demonstrate":[175],"TrackNetV6":[177],"not":[178],"only":[179],"sets":[180],"new":[182],"state-of-the-art":[183],"(SOTA)":[184],"but":[185],"also":[186],"delivers":[187],"exceptional":[188],"real-time":[189],"inference":[190],"at":[191,198],"183":[192],"FPS.":[193],"Code":[194],"will":[195],"be":[196],"available":[197],"https://github.com/Gi-gigi/TrackNetV6.":[199]},"counts_by_year":[],"updated_date":"2026-06-16T07:37:23.134862","created_date":"2026-06-16T00:00:00"}