{"id":"https://openalex.org/W7106695174","doi":"https://doi.org/10.48550/arxiv.2511.18012","title":"State and Scene Enhanced Prototypes for Weakly Supervised Open-Vocabulary Object Detection","display_name":"State and Scene Enhanced Prototypes for Weakly Supervised Open-Vocabulary Object Detection","publication_year":2025,"publication_date":"2025-11-22","ids":{"openalex":"https://openalex.org/W7106695174","doi":"https://doi.org/10.48550/arxiv.2511.18012"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.18012","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18012","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.2511.18012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhou, Jiaying","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhou, Jiaying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Chen, Qingchao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Qingchao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9778000116348267,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9778000116348267,"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":0.007400000002235174,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0032999999821186066,"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/semantics","display_name":"Semantics (computer science)","score":0.7391999959945679},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7121999859809875},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6891999840736389},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6410999894142151},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.454800009727478},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4277999997138977},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3352999985218048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31769999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580000162124634},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7391999959945679},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7121999859809875},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6891999840736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6620000004768372},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6410999894142151},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.454800009727478},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43470001220703125},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33649998903274536},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.18012","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18012","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.2511.18012","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18012","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":[{"score":0.7454954981803894,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Open-Vocabulary":[0],"Object":[1],"Detection":[2],"(OVOD)":[3],"aims":[4],"to":[5,9,50,121,140,160],"generalize":[6],"object":[7,60,124],"recognition":[8],"novel":[10],"categories,":[11],"while":[12],"Weakly":[13],"Supervised":[14],"OVOD":[15],"(WS-OVOD)":[16],"extends":[17],"this":[18,34],"by":[19,43,58],"combining":[20],"box-level":[21],"annotations":[22],"with":[23],"image-level":[24],"labels.":[25],"Despite":[26],"recent":[27],"progress,":[28],"two":[29,92],"critical":[30],"challenges":[31],"persist":[32],"in":[33,101],"setting.":[35],"First,":[36],"existing":[37],"semantic":[38,73,143,179],"prototypes,":[39],"even":[40],"when":[41],"enriched":[42],"LLMs,":[44],"are":[45],"static":[46],"and":[47,82,103,154,169,181],"limited,":[48],"failing":[49],"capture":[51,98,122],"the":[52,67,107,142,176,182],"rich":[53],"intra-class":[54,99],"visual":[55,76],"variations":[56,100],"induced":[57],"different":[59],"states":[61],"(e.g.,":[62,117,149],"a":[63,72,156],"cat's":[64],"pose).":[65],"Second,":[66],"standard":[68],"pseudo-box":[69],"generation":[70],"introduces":[71],"mismatch":[74],"between":[75],"region":[77],"proposals":[78],"(which":[79],"contain":[80],"context)":[81],"object-centric":[83],"text":[84],"embeddings.":[85],"To":[86,97],"tackle":[87],"these":[88],"issues,":[89],"we":[90,105,133],"introduce":[91,135],"complementary":[93],"prototype":[94],"enhancement":[95],"strategies.":[96],"appearance":[102],"state,":[104],"propose":[106],"State-Enhanced":[108],"Semantic":[109],"Prototypes":[110,138],"(SESP),":[111],"which":[112],"generates":[113],"state-aware":[114],"textual":[115],"descriptions":[116],"\"a":[118],"sleeping":[119],"cat\")":[120],"diverse":[123],"appearances,":[125],"yielding":[126],"more":[127],"discriminative":[128],"prototypes.":[129],"Building":[130],"on":[131,152],"this,":[132],"further":[134],"Scene-Augmented":[136],"Pseudo":[137],"(SAPP)":[139],"address":[141],"mismatch.":[144],"SAPP":[145],"incorporates":[146],"contextual":[147],"semantics":[148],"\"cat":[150],"lying":[151],"sofa\")":[153],"utilizes":[155],"soft":[157],"alignment":[158],"mechanism":[159],"promote":[161],"contextually":[162],"consistent":[163],"visual-textual":[164,183],"representations.":[165],"By":[166],"integrating":[167],"SESP":[168],"SAPP,":[170],"our":[171],"method":[172],"effectively":[173],"enhances":[174],"both":[175],"richness":[177],"of":[178],"prototypes":[180],"alignment,":[184],"achieving":[185],"notable":[186],"improvements.":[187]},"counts_by_year":[],"updated_date":"2025-11-27T01:16:37.896743","created_date":"2025-11-27T00:00:00"}
