{"id":"https://openalex.org/W4400489865","doi":"https://doi.org/10.1109/cscwd61410.2024.10580236","title":"Decouple and Align Sparse R-CNN for End-to-End Object Detection","display_name":"Decouple and Align Sparse R-CNN for End-to-End Object Detection","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489865","doi":"https://doi.org/10.1109/cscwd61410.2024.10580236"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580236","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028576346","display_name":"Xin\u2010Wei Yao","orcid":"https://orcid.org/0000-0001-6352-3165"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin-Wei Yao","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424328","display_name":"Yuchen Zhang","orcid":"https://orcid.org/0000-0003-3835-9900"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Chen Zhang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095776684","display_name":"Yu-Yi Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Yi Zhi","raw_affiliation_strings":["Zhejiang University of Technology,Jianxing Honors College,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,Jianxing Honors College,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100310025","display_name":"Kai-Jie Zhang","orcid":"https://orcid.org/0009-0000-0349-3873"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai-Jie Zhang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113152491","display_name":"Zhi-Heng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Heng Yuan","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028576346"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09693331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1328","last_page":"1333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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":0.996999979019165,"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":0.9898999929428101,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.7961646318435669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6732655167579651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5500539541244507},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5290865898132324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46354007720947266},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4316801130771637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35225531458854675}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.7961646318435669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732655167579651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5500539541244507},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5290865898132324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46354007720947266},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4316801130771637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35225531458854675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580236","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2886904239","https://openalex.org/W2908510526","https://openalex.org/W2962766617","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2964241181","https://openalex.org/W2989604896","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3092462694","https://openalex.org/W3096609285","https://openalex.org/W3102710196","https://openalex.org/W3106250896","https://openalex.org/W3172752666","https://openalex.org/W4214507171","https://openalex.org/W4304585030","https://openalex.org/W4312312588","https://openalex.org/W4366342179","https://openalex.org/W4385484534","https://openalex.org/W4387129610","https://openalex.org/W6620707391","https://openalex.org/W6631943919","https://openalex.org/W6757817989","https://openalex.org/W6779586474","https://openalex.org/W6784094891","https://openalex.org/W6851672989"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W2151749779","https://openalex.org/W3008587939","https://openalex.org/W3196421258","https://openalex.org/W4387301579","https://openalex.org/W3173456895","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Real-world":[0],"applications":[1],"of":[2,22,33,94,110,133],"object":[3,57],"detection,":[4],"such":[5],"as":[6],"video":[7],"referee":[8],"at":[9],"the":[10,20,27,30,49,68,78,90,103,107,111,131,150],"Hangzhou":[11],"Asian":[12],"Games,":[13],"have":[14],"high":[15],"requirements":[16,42,93],"for":[17],"accuracy.":[18],"However,":[19],"performance":[21],"detectors":[23],"is":[24,74],"hindered":[25],"by":[26],"discrepancy":[28],"between":[29,106],"two":[31,112],"sub-tasks":[32],"classification":[34,83,96,120,125],"and":[35,43,62,84,97,126],"localization,":[36],"which":[37,88],"mainly":[38],"includes":[39],"inconsistent":[40,44,91],"feature":[41,92],"output":[45,108],"pre-dictions.":[46],"To":[47],"alleviate":[48],"discrepancy,":[50],"this":[51],"paper":[52],"presents":[53],"a":[54,116],"new":[55],"end-to-end":[56],"detection":[58],"framework":[59],"named":[60],"Decouple":[61],"Align":[63],"(DA)":[64],"Sparse":[65,136,155],"R-CNN.":[66,137,156],"Specifically,":[67],"Proposal":[69],"Feature":[70],"Decoupling":[71],"(PFD)":[72],"module":[73],"proposed":[75,141],"to":[76,101,122],"decouple":[77],"shared":[79],"proposal":[80,86],"features":[81],"into":[82],"regression":[85],"features,":[87],"meets":[89],"both":[95],"localization":[98,117],"tasks.":[99],"Additionally,":[100],"solve":[102],"misalignment":[104],"problem":[105],"predictions":[109],"tasks,":[113],"we":[114],"introduce":[115],"precision":[118,147],"aware":[119],"loss":[121],"jointly":[123],"optimize":[124],"localization.":[127],"Extensive":[128],"experiments":[129],"demonstrate":[130],"effectiveness":[132],"our":[134,140],"DA":[135],"In":[138],"particular,":[139],"method":[142],"can":[143],"improve":[144],"2.1":[145],"average":[146],"(AP)":[148],"on":[149],"MS-COCO":[151],"dataset":[152],"compared":[153],"with":[154]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}