{"id":"https://openalex.org/W7148288810","doi":"https://doi.org/10.48550/arxiv.2604.00503","title":"PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training","display_name":"PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148288810","doi":"https://doi.org/10.48550/arxiv.2604.00503"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00503","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00503","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.2604.00503","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132804115","display_name":"Weifu Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fu, Weifu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132801258","display_name":"Jinyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jinyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132793876","display_name":"Bin-Bin Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Bin-Bin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132810588","display_name":"Jialin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jialin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101373524","display_name":"Yuhuan Lin","orcid":"https://orcid.org/0000-0002-5117-5893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yuhuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000355861","display_name":"Hanqiu Deng","orcid":"https://orcid.org/0009-0000-9730-9159"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Hanqiu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125173629","display_name":"Wenbing Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Wenbing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132799171","display_name":"Yong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132802720","display_name":"Chengjie Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chengjie","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5132804115"],"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":0.8755000233650208,"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":0.8755000233650208,"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":0.03620000183582306,"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":0.032099999487400055,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.604200005531311},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5406000018119812},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5392000079154968},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.501800000667572},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.39980000257492065},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.3984000086784363},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.3824999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444999814033508},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.604200005531311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5411999821662903},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5392000079154968},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5074999928474426},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.501800000667572},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C2780103172","wikidata":"https://www.wikidata.org/wiki/Q1309721","display_name":"Visual Objects","level":3,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00503","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00503","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.2604.00503","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00503","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":{"Open-Set":[0],"Object":[1],"Detection":[2],"(OSOD)":[3],"enables":[4],"recognition":[5],"of":[6,26,107,145],"novel":[7],"categories":[8],"beyond":[9],"fixed":[10],"classes":[11],"but":[12,51],"faces":[13],"challenges":[14],"in":[15,34,37,190],"aligning":[16],"text":[17,87,108],"representations":[18],"with":[19,41,152],"complex":[20,42,54],"visual":[21,89],"concepts":[22],"and":[23,57,88,111,130,181],"the":[24,61,105,113,127,136],"scarcity":[25],"image-text":[27],"pairs":[28],"for":[29,68],"rare":[30],"categories.":[31],"This":[32],"results":[33],"suboptimal":[35],"performance":[36],"specialized":[38],"domains":[39],"or":[40],"objects.":[43],"Recent":[44],"visual-prompted":[45],"methods":[46],"partially":[47],"address":[48,76],"these":[49,77],"issues":[50],"often":[52],"involve":[53],"multi-modal":[55],"designs":[56],"multi-stage":[58],"optimizations,":[59],"prolonging":[60],"development":[62,114],"cycle.":[63,115],"Additionally,":[64],"effective":[65,193],"training":[66,120,138,183],"strategies":[67,141],"data-driven":[69],"OSOD":[70],"models":[71],"remain":[72],"largely":[73],"unexplored.":[74],"To":[75],"challenges,":[78],"we":[79],"propose":[80],"PET-DINO,":[81],"a":[82,187],"universal":[83],"detector":[84],"supporting":[85],"both":[86],"prompts.":[90],"Our":[91],"Alignment-Friendly":[92],"Visual":[93],"Prompt":[94],"Generation":[95],"(AFVPG)":[96],"module":[97],"builds":[98],"upon":[99],"an":[100,192],"advanced":[101],"text-prompted":[102],"detector,":[103],"addressing":[104],"limitations":[106],"representation":[109],"guidance":[110],"reducing":[112],"We":[116],"introduce":[117],"two":[118],"prompt-enriched":[119,182],"strategies:":[121],"Intra-Batch":[122],"Parallel":[123],"Prompting":[124,133],"(IBP)":[125],"at":[126,135],"iteration":[128],"level":[129],"Dynamic":[131],"Memory-Driven":[132],"(DMD)":[134],"overall":[137],"level.":[139],"These":[140,173],"enable":[142],"simultaneous":[143],"modeling":[144],"multiple":[146],"prompt":[147],"routes,":[148],"facilitating":[149],"parallel":[150],"alignment":[151],"diverse":[153],"real-world":[154],"usage":[155],"scenarios.":[156],"Comprehensive":[157],"experiments":[158],"demonstrate":[159],"that":[160],"PET-DINO":[161],"exhibits":[162],"competitive":[163],"zero-shot":[164],"object":[165,195],"detection":[166,171],"capabilities":[167],"across":[168],"various":[169],"prompt-based":[170],"protocols.":[172],"strengths":[174],"can":[175],"be":[176],"attributed":[177],"to":[178],"inheritance-based":[179],"philosophy":[180],"strategies,":[184],"which":[185],"play":[186],"critical":[188],"role":[189],"building":[191],"generic":[194],"detector.":[196],"Project":[197],"page:":[198],"https://fuweifuvtoo.github.io/pet-dino.":[199]},"counts_by_year":[],"updated_date":"2026-04-03T16:44:17.987007","created_date":"2026-04-03T00:00:00"}
