{"id":"https://openalex.org/W3127814258","doi":"https://doi.org/10.5220/0010242303960407","title":"Single Stage Class Agnostic Common Object Detection: A Simple Baseline","display_name":"Single Stage Class Agnostic Common Object Detection: A Simple Baseline","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127814258","doi":"https://doi.org/10.5220/0010242303960407","mag":"3127814258"},"language":"en","primary_location":{"id":"doi:10.5220/0010242303960407","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010242303960407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.12245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chuong Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chuong Nguyen","raw_affiliation_strings":["Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thuy Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thuy Nguyen","raw_affiliation_strings":["Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anh Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anh Vo","raw_affiliation_strings":["Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Cybercore, Marios 10F, Morioka Eki Nishi Dori 2-9-1, Morioka, Iwate, Japan, --- Select a Country ---","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Yamazaki Masayuki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yamazaki Masayuki","raw_affiliation_strings":["Toyota Research Institute-Advanced Development, 3-2-1 Nihonbashi-Muromachi, Chuo-ku, Tokyo, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Toyota Research Institute-Advanced Development, 3-2-1 Nihonbashi-Muromachi, Chuo-ku, Tokyo, Japan, --- Select a Country ---","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0969,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34620871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9944000244140625,"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","display_name":"Object (grammar)","score":0.7896999716758728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6367999911308289},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5687000155448914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5557000041007996},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.492000013589859},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4860999882221222},{"id":"https://openalex.org/keywords/object-code","display_name":"Object code","score":0.47099998593330383},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46219998598098755}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7896999716758728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6367999911308289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218000054359436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726000070571899},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5687000155448914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5557000041007996},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.492000013589859},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C154526789","wikidata":"https://www.wikidata.org/wiki/Q157965","display_name":"Object code","level":4,"score":0.47099998593330383},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46219998598098755},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42410001158714294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4009000062942505},{"id":"https://openalex.org/C53073257","wikidata":"https://www.wikidata.org/wiki/Q7075021","display_name":"Object-oriented design","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C512554520","wikidata":"https://www.wikidata.org/wiki/Q815844","display_name":"Method","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2922999858856201},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.28949999809265137},{"id":"https://openalex.org/C3020376581","wikidata":"https://www.wikidata.org/wiki/Q16866784","display_name":"Single stage","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.260699987411499},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0010242303960407","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010242303960407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.12245","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12245","pdf_url":"https://arxiv.org/pdf/2104.12245","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.12245","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12245","pdf_url":"https://arxiv.org/pdf/2104.12245","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"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":{"This":[0],"paper":[1],"addresses":[2],"the":[3,28,73,80,97,119,132,170,173],"problem":[4],"of":[5,14,20,72,172,184],"common":[6,34,107],"object":[7,30,35,122,175],"detection,":[8,36,176],"which":[9],"aims":[10],"to":[11,51,69,79,104,130,181],"detect":[12,105],"objects":[13,71,108,183],"similar":[15],"categories":[16],"from":[17,109],"a":[18],"set":[19],"images.":[21],"Although":[22],"it":[23,48,65,87],"shares":[24],"some":[25,42],"similarities":[26],"with":[27],"standard":[29,120,174],"detection":[31],"and":[32,45,56,61,136,151,158],"co-segmentation,":[33],"recently":[37],"promoted":[38],"by":[39,141],"\\cite{Jiang2019a},":[40],"has":[41],"unique":[43],"advantages":[44],"challenges.":[46],"First,":[47],"is":[49,116,128,139],"designed":[50],"work":[52],"on":[53,147],"both":[54],"closed-set":[55],"open-set":[57],"conditions,":[58],"a.k.a.":[59],"known":[60],"unknown":[62,185],"objects.":[63,91],"Second,":[64],"must":[66],"be":[67,179,191],"able":[68,180],"match":[70,182],"same":[74,81],"category":[75],"but":[76],"not":[77],"restricted":[78],"instance,":[82],"texture,":[83],"or":[84],"posture.":[85],"Third,":[86],"can":[88,190],"distinguish":[89],"multiple":[90],"In":[92],"this":[93],"work,":[94],"we":[95],"introduce":[96],"Single":[98],"Stage":[99],"Common":[100],"Object":[101],"Detection":[102],"(SSCOD)":[103],"class-agnostic":[106],"an":[110,125],"image":[111],"set.":[112],"The":[113],"proposed":[114,161],"method":[115],"built":[117,163],"upon":[118,164],"single-stage":[121],"detector.":[123],"Furthermore,":[124],"embedded":[126],"branch":[127],"introduced":[129],"generate":[131],"object's":[133],"representation":[134],"feature,":[135],"their":[137],"similarity":[138],"measured":[140],"cosine":[142],"distance.":[143],"Experiments":[144],"are":[145],"conducted":[146],"PASCAL":[148],"VOC":[149],"2007":[150],"COCO":[152],"2014":[153],"datasets.":[154],"While":[155],"being":[156],"simple":[157],"flexible,":[159],"our":[160],"SSCOD":[162],"ATSSNet":[165],"performs":[166],"significantly":[167],"better":[168],"than":[169],"baseline":[171],"while":[177],"still":[178],"categories.":[186],"Our":[187],"source":[188],"code":[189],"found":[192],"at":[193],"\\href{https://github.com/cybercore-co-ltd/Single-Stage-Common-Object-Detection}{(URL)}":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-02-15T00:00:00"}
