{"id":"https://openalex.org/W7162779855","doi":"https://doi.org/10.48550/arxiv.2605.30211","title":"Cycle Consistency in Video Object-Centric Learning","display_name":"Cycle Consistency in Video Object-Centric Learning","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162779855","doi":"https://doi.org/10.48550/arxiv.2605.30211"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.30211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30211","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.30211","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137333308","display_name":"Rongzhen Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Rongzhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137365398","display_name":"Zhiyuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhiyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067428532","display_name":"Ruonan Wei","orcid":"https://orcid.org/0000-0002-2562-6021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Ruonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137361367","display_name":"Juho Kannala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kannala, Juho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137332610","display_name":"Joni Pajarinen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pajarinen, Joni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.4341000020503998,"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":0.4341000020503998,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.3034999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.06589999794960022,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.7980999946594238},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6866000294685364},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6674000024795532},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.666700005531311},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.560699999332428},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4708999991416931},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.44449999928474426},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.4325000047683716},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4171999990940094}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7980999946594238},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6866000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717000007629395},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6674000024795532},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.666700005531311},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.560699999332428},{"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/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4708999991416931},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.44449999928474426},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C11534374","wikidata":"https://www.wikidata.org/wiki/Q7805280","display_name":"Time consistency","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.30211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30211","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.30211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30211","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"video":[1,145],"Object-Centric":[2],"Learning":[3],"(OCL)":[4],"aims":[5],"to":[6,40,64,116,123],"discover":[7],"distinct":[8],"objects":[9],"and":[10,50,61,154,163],"associate":[11],"them":[12],"across":[13],"time,":[14],"whereas":[15],"self-supervised":[16],"Multi-Object":[17],"Tracking":[18],"(MOT)":[19],"focuses":[20],"on":[21,73,128,143,168],"associating":[22],"pre-defined":[23],"object":[24,52],"detections":[25],"or":[26,37],"segmentations.":[27],"Although":[28],"well-established":[29],"in":[30,54],"MOT,":[31,55],"Cycle":[32,103],"Consistency":[33,104],"(CC)":[34],"cannot":[35],"naively":[36],"explicitly":[38],"apply":[39],"the":[41,48,82,108,112,117,131],"latent":[42],"slot":[43,114],"space":[44,115],"of":[45],"OCL.":[46],"Unlike":[47],"deterministic":[49],"ideal":[51],"representations":[53],"OCL":[56,146],"slots":[57,74,122],"are":[58,166],"inherently":[59],"stochastic":[60],"ambiguous":[62],"due":[63],"non-unique":[65],"scene":[66,133],"decompositions.":[67],"Enforcing":[68],"explicit":[69],"cycle":[70],"consistency":[71],"(ECC)":[72],"imposes":[75],"rigid":[76,137],"mean":[77],"seeking.":[78],"This":[79],"severely":[80],"penalizes":[81],"model":[83,161],"for":[84],"exploring":[85],"alternative":[86],"but":[87],"equally":[88],"valid":[89],"decompositions,":[90],"thereby":[91],"driving":[92],"towards":[93],"feature":[94,139,152],"collapse.":[95],"To":[96],"resolve":[97],"this":[98],"dilemma,":[99],"we":[100],"propose":[101],"\\textit{Implicit":[102],"(ICC)},":[105],"which":[106],"shifts":[107],"cycle-consistency":[109],"constraint":[110],"from":[111],"restrictive":[113],"continuous":[118],"reconstruction":[119],"manifold,":[120],"encouraging":[121],"reach":[124],"a":[125],"soft":[126],"consensus":[127],"collectively":[129],"interpreting":[130],"visual":[132],"rather":[134],"than":[135],"forcing":[136],"point-to-point":[138],"alignment.":[140],"Extensive":[141],"experiments":[142],"complex":[144],"benchmarks":[147],"demonstrate":[148],"that":[149],"ICC":[150],"avoids":[151],"collapse":[153],"outperforms":[155],"ECC":[156],"baselines.":[157],"Our":[158],"source":[159],"code,":[160],"checkpoints":[162],"training":[164],"logs":[165],"provided":[167],"https://github.com/Genera1Z/ICC.":[169]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-30T00:00:00"}