{"id":"https://openalex.org/W7124258697","doi":"https://doi.org/10.48550/arxiv.2601.09699","title":"SAM3-DMS: Decoupled Memory Selection for Multi-target Video Segmentation of SAM3","display_name":"SAM3-DMS: Decoupled Memory Selection for Multi-target Video Segmentation of SAM3","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7124258697","doi":"https://doi.org/10.48550/arxiv.2601.09699"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.09699","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09699","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":null,"license_id":null,"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.2601.09699","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123157314","display_name":"Ruiqi Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shen, Ruiqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123054838","display_name":"Chang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036631624","display_name":"Henghui Ding","orcid":"https://orcid.org/0000-0003-4868-6526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Henghui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123157314"],"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":0.4138999879360199,"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":0.4138999879360199,"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":0.2797999978065491,"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":0.17579999566078186,"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/segmentation","display_name":"Segmentation","score":0.6607000231742859},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6596999764442444},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4772999882698059},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4065000116825104},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.38690000772476196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36340001225471497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796000003814697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6607000231742859},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6510000228881836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5461999773979187},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4065000116825104},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.38690000772476196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32350000739097595},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.09699","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09699","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.09699","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09699","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Segment":[0],"Anything":[1],"3":[2],"(SAM3)":[3],"has":[4],"established":[5],"a":[6,38,60,95],"powerful":[7],"foundation":[8,97],"that":[9,64,74],"robustly":[10],"detects,":[11],"segments,":[12],"and":[13,81],"tracks":[14],"specified":[15],"targets":[16,44],"in":[17,20,103],"videos.":[18],"However,":[19],"its":[21,24],"original":[22],"implementation,":[23],"group-level":[25],"collective":[26],"memory":[27,67],"selection":[28,68],"is":[29],"suboptimal":[30],"for":[31,98],"complex":[32],"multi-object":[33],"scenarios,":[34],"as":[35],"it":[36],"employs":[37],"synchronized":[39],"decision":[40],"across":[41],"all":[42],"concurrent":[43],"conditioned":[45],"on":[46,69],"their":[47],"average":[48],"performance,":[49],"often":[50],"overlooking":[51],"individual":[52,70],"reliability.":[53],"To":[54],"this":[55],"end,":[56],"we":[57],"propose":[58],"SAM3-DMS,":[59],"training-free":[61],"decoupled":[62],"strategy":[63],"utilizes":[65],"fine-grained":[66],"objects.":[71],"Experiments":[72],"demonstrate":[73],"our":[75,85],"approach":[76],"achieves":[77],"robust":[78],"identity":[79],"preservation":[80],"tracking":[82],"stability.":[83],"Notably,":[84],"advantage":[86],"becomes":[87],"more":[88],"pronounced":[89],"with":[90],"increased":[91],"target":[92],"density,":[93],"establishing":[94],"solid":[96],"simultaneous":[99],"multi-target":[100],"video":[101],"segmentation":[102],"the":[104],"wild.":[105]},"counts_by_year":[],"updated_date":"2026-01-16T23:21:37.720618","created_date":"2026-01-16T00:00:00"}
