{"id":"https://openalex.org/W7133493835","doi":"https://doi.org/10.48550/arxiv.2603.02270","title":"From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification","display_name":"From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133493835","doi":"https://doi.org/10.48550/arxiv.2603.02270"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02270","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02270","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.2603.02270","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114316561","display_name":"Vasiliy Kudryavtsev","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kudryavtsev, Vasiliy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114316560","display_name":"Kirill Borodin","orcid":"https://orcid.org/0009-0001-8203-1059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borodin, Kirill","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122296229","display_name":"German Berezin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berezin, German","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069603544","display_name":"Kirill Bubenchikov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bubenchikov, Kirill","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084139711","display_name":"\u0413 \u041c \u041c\u043a\u0440\u0442\u0447\u044f\u043d","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mkrtchian, Grach","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060069695","display_name":"Alexander Ryzhkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryzhkov, Alexander","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114316561"],"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/T11214","display_name":"Human-Animal Interaction Studies","score":0.37290000915527344,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11214","display_name":"Human-Animal Interaction Studies","score":0.37290000915527344,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.11169999837875366,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.04309999942779541,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.728600025177002},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5353999733924866},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5055000185966492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48510000109672546},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.454800009727478},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4440999925136566},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.412200003862381},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.36559998989105225},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3508000075817108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469000220298767},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.728600025177002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801000237464905},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5055000185966492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40790000557899475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.36559998989105225},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02270","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02270","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.2603.02270","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02270","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automated":[0],"animal":[1],"identification":[2],"is":[3],"a":[4,33,52,108,114,127],"practical":[5],"task":[6],"for":[7,100],"reuniting":[8],"lost":[9],"pets":[10],"with":[11,41],"their":[12],"owners,":[13],"yet":[14],"current":[15],"systems":[16],"often":[17],"struggle":[18],"due":[19],"to":[20,63,92,95],"limited":[21],"dataset":[22],"scale":[23],"and":[24,74,80,112,119,141],"reliance":[25],"on":[26,126],"unimodal":[27,139],"visual":[28,39],"cues.":[29],"This":[30],"study":[31],"introduces":[32],"multimodal":[34],"verification":[35],"framework":[36],"that":[37,143],"enhances":[38],"features":[40],"semantic":[42,146],"identity":[43],"priors":[44],"derived":[45],"from":[46,89],"synthetic":[47],"textual":[48],"descriptions.":[49],"We":[50,83],"constructed":[51],"massive":[53],"training":[54],"corpus":[55],"of":[56,117,124],"1.9":[57],"million":[58],"photographs":[59],"covering":[60],"695,091~unique":[61],"animals":[62],"support":[64],"this":[65],"investigation.":[66],"Through":[67],"systematic":[68],"ablation":[69],"studies,":[70],"we":[71],"identified":[72],"SigLIP2-Giant":[73],"E5-Small-v2":[75],"as":[76],"the":[77,97],"optimal":[78],"vision":[79],"text":[81],"backbones.":[82],"further":[84],"evaluated":[85],"fusion":[86,110],"strategies":[87],"ranging":[88],"simple":[90],"concatenation":[91],"adaptive":[93],"gating":[94],"determine":[96],"best":[98],"method":[99],"integrating":[101,144],"these":[102],"modalities.":[103],"Our":[104],"proposed":[105],"approach":[106],"utilizes":[107],"gated":[109],"mechanism":[111],"achieved":[113],"Top-1":[115],"accuracy":[116],"84.28\\%":[118],"an":[120,134],"Equal":[121],"Error":[122],"Rate":[123],"0.0422":[125],"comprehensive":[128],"test":[129],"protocol.":[130],"These":[131],"results":[132],"represent":[133],"11\\%":[135],"improvement":[136],"over":[137],"leading":[138],"baselines":[140],"demonstrate":[142],"synthesized":[145],"descriptions":[147],"significantly":[148],"refines":[149],"decision":[150],"boundaries":[151],"in":[152],"large-scale":[153],"pet":[154],"re-identification.":[155]},"counts_by_year":[],"updated_date":"2026-03-05T07:36:02.291473","created_date":"2026-03-05T00:00:00"}