{"id":"https://openalex.org/W7133304751","doi":"https://doi.org/10.48550/arxiv.2603.01485","title":"SCATR: Mitigating New Instance Suppression in LiDAR-based Tracking-by-Attention via Second Chance Assignment and Track Query Dropout","display_name":"SCATR: Mitigating New Instance Suppression in LiDAR-based Tracking-by-Attention via Second Chance Assignment and Track Query Dropout","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133304751","doi":"https://doi.org/10.48550/arxiv.2603.01485"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01485","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01485","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127973767","display_name":"Brian Cheong","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cheong, Brian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128021189","display_name":"Letian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Letian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091957449","display_name":"Sandro Papais","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papais, Sandro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128013438","display_name":"Steven L. Waslander","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waslander, Steven L.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5127973767"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.850600004196167,"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":0.850600004196167,"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":0.05959999933838844,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.013399999588727951,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/robustness","display_name":"Robustness (evolution)","score":0.5943999886512756},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5166000127792358},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.47589999437332153},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4417000114917755},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.44040000438690186},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.3977999985218048},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.357699990272522},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.33180001378059387},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.32359999418258667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882999777793884},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5943999886512756},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5166000127792358},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.47589999437332153},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.3977999985218048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35600000619888306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35010001063346863},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.28679999709129333},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2779110517","wikidata":"https://www.wikidata.org/wiki/Q1240788","display_name":"Supervisor","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01485","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.01485","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6506540179252625}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LiDAR-based":[0,20,30,168,185],"tracking-by-attention":[1],"(TBA)":[2],"frameworks":[3],"inherently":[4],"suffer":[5],"from":[6],"high":[7],"false":[8],"negative":[9],"errors,":[10],"leading":[11],"to":[12,18,34,89,103,106,137,142,150],"a":[13,28,79,100,107,128],"significant":[14],"performance":[15,166,182],"gap":[16,183],"compared":[17],"traditional":[19],"tracking-by-detection":[21],"(TBD)":[22],"methods.":[23,189],"This":[24],"paper":[25],"introduces":[26],"SCATR,":[27],"novel":[29,80],"TBA":[31,66,169,186],"model":[32],"designed":[33],"address":[35],"this":[36],"fundamental":[37],"challenge":[38],"systematically.":[39],"SCATR":[40,163],"leverages":[41],"recent":[42],"progress":[43],"in":[44,122],"vision-based":[45],"tracking":[46,119,159],"and":[47,71,111,118,177,187,196,202],"incorporates":[48],"targeted":[49],"training":[50,63,129],"strategies":[51,64],"specifically":[52],"adapted":[53],"for":[54,65],"LiDAR.":[55],"Our":[56],"work's":[57],"core":[58],"innovations":[59],"are":[60],"two":[61],"architecture-agnostic":[62],"methods:":[67],"Second":[68,75,199],"Chance":[69,76,200],"Assignment":[70,77,201],"Track":[72,124,203],"Query":[73,125,204],"Dropout.":[74,205],"is":[78,127],"ground":[81,108],"truth":[82,109],"assignment":[83],"that":[84,131,162],"concatenates":[85],"unassigned":[86],"track":[87,98,145],"queries":[88,92,99],"the":[90,114,140,157,180,194,211],"proposal":[91],"before":[93],"bipartite":[94],"matching,":[95],"giving":[96],"these":[97],"second":[101],"chance":[102],"be":[104,208],"assigned":[105],"object":[110,134],"effectively":[112],"mitigating":[113],"conflict":[115],"between":[116,184],"detection":[117],"tasks":[120],"inherent":[121],"tracking-by-attention.":[123],"Dropout":[126],"method":[130],"diversifies":[132],"supervised":[133],"query":[135,146],"configurations":[136],"efficiently":[138],"train":[139],"decoder":[141],"handle":[143],"different":[144],"sets,":[147],"enhancing":[148],"robustness":[149],"missing":[151],"or":[152],"newborn":[153],"tracks.":[154],"Experiments":[155],"on":[156],"nuScenes":[158],"benchmark":[160],"demonstrate":[161],"achieves":[164],"state-of-the-art":[165],"among":[167],"methods,":[170],"outperforming":[171],"previous":[172],"works":[173],"by":[174],"7.6\\%":[175],"AMOTA":[176],"successfully":[178],"bridging":[179],"long-standing":[181],"TBD":[188],"Ablation":[190],"studies":[191],"further":[192],"validate":[193],"effectiveness":[195],"generalization":[197],"of":[198],"Code":[206],"can":[207],"found":[209],"at":[210],"following":[212],"link:":[213],"\\href{https://github.com/TRAILab/SCATR}{https://github.com/TRAILab/SCATR}":[214]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}
