{"id":"https://openalex.org/W4392798683","doi":"https://doi.org/10.1145/3638584.3638646","title":"Instance-based 3D Anchor for Monocular 3D Object Detection","display_name":"Instance-based 3D Anchor for Monocular 3D Object Detection","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392798683","doi":"https://doi.org/10.1145/3638584.3638646"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015726195","display_name":"Z. Wu","orcid":"https://orcid.org/0009-0000-1756-2593"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Wu","raw_affiliation_strings":["WuHan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-1756-2593","affiliations":[{"raw_affiliation_string":"WuHan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046387267","display_name":"Ziyang Wu","orcid":"https://orcid.org/0009-0001-3932-020X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Wu","raw_affiliation_strings":["WuHan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-3932-020X","affiliations":[{"raw_affiliation_string":"WuHan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.1213,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50252145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7004926204681396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6078436374664307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5664410591125488},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5453171730041504},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5277664661407471},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4843965172767639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1776234209537506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004926204681396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6078436374664307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5664410591125488},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5453171730041504},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5277664661407471},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4843965172767639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1776234209537506}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","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":37,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2184393491","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2517799941","https://openalex.org/W2525579820","https://openalex.org/W2560544142","https://openalex.org/W2613718673","https://openalex.org/W2901094325","https://openalex.org/W2908510526","https://openalex.org/W2925359305","https://openalex.org/W2949708697","https://openalex.org/W2960641820","https://openalex.org/W2962807143","https://openalex.org/W2963351448","https://openalex.org/W2963809933","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W2991044292","https://openalex.org/W2999947750","https://openalex.org/W3006900629","https://openalex.org/W3034314779","https://openalex.org/W3034407526","https://openalex.org/W3034479628","https://openalex.org/W3091982744","https://openalex.org/W3096609285","https://openalex.org/W3132500446","https://openalex.org/W3169690993","https://openalex.org/W3204445544","https://openalex.org/W3215100485","https://openalex.org/W4249009392","https://openalex.org/W4282030935","https://openalex.org/W4285252188","https://openalex.org/W4297683907","https://openalex.org/W4310233628","https://openalex.org/W6757817989","https://openalex.org/W6763059986"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"perception":[1],"component":[2],"of":[3,9,22,48,74,90],"autonomous":[4],"driving":[5],"system":[6],"usually":[7],"consists":[8],"LiDAR":[10],"and":[11,25,104],"RGB":[12,17,36],"camera.":[13],"Compared":[14,69],"with":[15,107,129],"LiDAR,":[16],"cameras":[18],"have":[19],"the":[20,46,66,71,82,88,102,126],"characteristics":[21],"low":[23],"price":[24],"long":[26],"life.":[27],"Recently,":[28],"some":[29],"works":[30],"focus":[31],"on":[32,125],"using":[33],"a":[34],"single":[35],"image":[37],"to":[38,45,57,70,86],"conduct":[39],"3D":[40,79,113],"object":[41],"detection":[42,67],"task.":[43],"Due":[44],"lack":[47],"depth":[49,59,63],"information":[50],"in":[51,65,118],"monocular":[52],"images,":[53],"it":[54],"is":[55,116],"necessary":[56],"constrain":[58],"estimation":[60],"or":[61],"introduce":[62,77],"clues":[64,97],"pipeline.":[68],"depth-guided":[72],"approach":[73],"MonoDETR,":[75],"we":[76],"instance-based":[78,112],"anchors":[80],"into":[81],"visual":[83],"features":[84],"encoder":[85],"guide":[87],"learning":[89],"network":[91],"parameters.":[92],"In":[93],"this":[94],"way,":[95],"richer":[96],"can":[98],"be":[99],"introduced":[100],"for":[101],"encoding":[103],"decoding":[105],"stages":[106],"faster":[108],"inference":[109],"speed.":[110],"Our":[111],"anchor":[114],"detector":[115],"trained":[117],"an":[119],"end-to-end":[120],"manner,":[121],"achieving":[122],"advanced":[123],"performance":[124],"KITTI":[127],"benchmark":[128],"significant":[130],"gains.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}