{"id":"https://openalex.org/W7131816084","doi":"https://doi.org/10.48550/arxiv.2602.22595","title":"Don't let the information slip away","display_name":"Don't let the information slip away","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131816084","doi":"https://doi.org/10.48550/arxiv.2602.22595"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.22595","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127411744","display_name":"Taozhe Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Taozhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123043650","display_name":"Guansu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guansu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127786164","display_name":"Bo Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Bo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127826120","display_name":"Yiming Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127840192","display_name":"Wei Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Wei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5127411744"],"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/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"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/T11448","display_name":"Face recognition and analysis","score":0.00139999995008111,"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":0.0013000000035390258,"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/object-detection","display_name":"Object detection","score":0.7577999830245972},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5540000200271606},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45190000534057617},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4429999887943268},{"id":"https://openalex.org/keywords/coco","display_name":"Coco","score":0.4131999909877777},{"id":"https://openalex.org/keywords/object-based","display_name":"Object based","score":0.3986000120639801}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7577999830245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849999785423279},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5540000200271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450000166893005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4934999942779541},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C21780288","wikidata":"https://www.wikidata.org/wiki/Q5139731","display_name":"Coco","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2653999924659729},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25429999828338623},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.22595","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.22595","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22595","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":"pmh:doi:10.48550/arxiv.2602.22595","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5267561674118042,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"object":[1,20,50,132,175,188],"detection":[2,21,51,133,176,189],"has":[3],"advanced":[4],"rapidly":[5],"in":[6,73,147,158],"recent":[7],"years.":[8],"The":[9,27],"YOLO":[10,71],"series":[11,72],"of":[12,112],"detectors":[13],"is":[14,64],"among":[15],"the":[16,44,70,89,110,117,122,192],"most":[17],"well-known":[18],"CNN-based":[19],"models":[22,100,190],"and":[23,76],"cannot":[24],"be":[25,156],"overlooked.":[26],"latest":[28],"version,":[29],"YOLOv26,":[30],"was":[31,80],"recently":[32],"released,":[33],"while":[34,115,149],"YOLOv12":[35],"achieved":[36,85],"state-of-the-art":[37,183],"(SOTA)":[38],"performance":[39],"with":[40],"55.2":[41],"mAP":[42,87],"on":[43,88,109,143,165,191],"COCO":[45,90,193],"val2017":[46,91,194],"dataset.":[47,92,195],"Meanwhile,":[48],"transformer-based":[49],"models,":[52],"also":[53],"known":[54],"as":[55],"DEtection":[56],"TRansformer":[57],"(DETR),":[58],"have":[59],"demonstrated":[60],"impressive":[61],"performance.":[62],"RT-DETR":[63],"an":[65,174],"outstanding":[66],"model":[67,177],"that":[68,126],"outperformed":[69],"both":[74],"speed":[75],"accuracy":[77],"when":[78],"it":[79],"released.":[81],"Its":[82],"successor,":[83],"RT-DETRv2,":[84],"53.4":[86],"However,":[93],"despite":[94],"their":[95],"remarkable":[96],"performance,":[97],"all":[98],"these":[99],"let":[101],"information":[102,119,128],"to":[103,141,155,186],"slip":[104],"away.":[105],"They":[106],"primarily":[107],"focus":[108],"features":[111],"foreground":[113],"objects":[114],"neglecting":[116],"contextual":[118],"provided":[120],"by":[121],"background.":[123],"We":[124],"believe":[125],"background":[127],"can":[129],"significantly":[130],"aid":[131],"tasks.":[134],"For":[135],"example,":[136],"cars":[137],"are":[138,152],"more":[139,153],"likely":[140,154],"appear":[142],"roads":[144],"rather":[145,163],"than":[146,164],"offices,":[148],"wild":[150],"animals":[151],"found":[157],"forests":[159],"or":[160],"remote":[161],"areas":[162],"busy":[166],"streets.":[167],"To":[168],"address":[169],"this":[170],"gap,":[171],"we":[172],"propose":[173],"called":[178],"Association":[179],"DETR,":[180],"which":[181],"achieves":[182],"results":[184],"compared":[185],"other":[187]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-28T00:00:00"}
