{"id":"https://openalex.org/W3164301009","doi":"https://doi.org/10.1145/3441250.3441257","title":"3D Object Detection Based on Feature Pyramid Network","display_name":"3D Object Detection Based on Feature Pyramid Network","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3164301009","doi":"https://doi.org/10.1145/3441250.3441257","mag":"3164301009"},"language":"en","primary_location":{"id":"doi:10.1145/3441250.3441257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","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/A5013735428","display_name":"Yangyu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyu Zhao","raw_affiliation_strings":["Sichuan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055901236","display_name":"Yiguang Liu","orcid":"https://orcid.org/0000-0002-8223-1173"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiguang Liu","raw_affiliation_strings":["Sichuan University China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University China, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109419312","display_name":"Yunan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunan Zheng","raw_affiliation_strings":["Sichuan University China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University China, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041433684","display_name":"Tianhang Tang","orcid":"https://orcid.org/0009-0008-6418-9240"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhang Tang","raw_affiliation_strings":["Sichuan University China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University China, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22043272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8015441298484802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7450099587440491},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7084305286407471},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6662448644638062},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6586859822273254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6418617963790894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5969873666763306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5516397953033447},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5328750014305115},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4334600865840912},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4231507182121277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13266399502754211},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09112522006034851},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08140698075294495}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8015441298484802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450099587440491},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7084305286407471},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6662448644638062},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6586859822273254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6418617963790894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5969873666763306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5516397953033447},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5328750014305115},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4334600865840912},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4231507182121277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13266399502754211},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09112522006034851},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08140698075294495},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3441250.3441257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W116751493","https://openalex.org/W639708223","https://openalex.org/W2102605133","https://openalex.org/W2184393491","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2468368736","https://openalex.org/W2555618208","https://openalex.org/W2560544142","https://openalex.org/W2560609797","https://openalex.org/W2565639579","https://openalex.org/W2605189827","https://openalex.org/W2796347433","https://openalex.org/W2798462325","https://openalex.org/W2911486422","https://openalex.org/W2951517617","https://openalex.org/W2954174912","https://openalex.org/W2962807143","https://openalex.org/W2963083779","https://openalex.org/W2963351448","https://openalex.org/W2963400571","https://openalex.org/W2963516811","https://openalex.org/W2963619659","https://openalex.org/W2963727135","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W2983227562","https://openalex.org/W2985775862","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2114169842","https://openalex.org/W2535808783"],"abstract_inverted_index":{"3D":[0,46],"object":[1,26,47],"detection":[2,48,112,143,149],"aims":[3],"to":[4,7,20,29,61,75,89,105,115],"study":[5],"how":[6],"perceive":[8],"environmental":[9],"information":[10],"effectively,":[11],"classify":[12],"and":[13,64,78,96,103,108,121,133,141,154],"locate":[14],"interested":[15],"objects":[16],"accurately.":[17],"In":[18],"order":[19],"solve":[21],"the":[22,25,62,71,93,97,106,117,130,134,148],"problem":[23],"that":[24,137],"is":[27,113],"easy":[28],"be":[30],"lost":[31],"in":[32],"complex":[33],"environments":[34],"(such":[35],"as":[36],"partial":[37,152],"occlusion,":[38],"at":[39],"long":[40],"distance),":[41],"we":[42],"proposed":[43],"a":[44],"multi-scale":[45,77],"method":[49,144],"based":[50],"on":[51,129],"feature":[52,73,81,94,139],"pyramid":[53,72],"network":[54],"(FPN).":[55],"Firstly,":[56],"input":[57,104],"RGB":[58],"image":[59],"corresponding":[60],"scene":[63],"bird's":[65],"eye":[66],"view":[67],"(BEV)":[68],"map":[69],"into":[70],"extractor":[74],"construct":[76],"strong":[79],"semantic":[80],"representations.":[82],"Secondly,":[83],"priori":[84],"anchor":[85],"boxes":[86],"are":[87,101,127],"applied":[88],"each":[90],"layer":[91],"of":[92,151],"pyramid,":[95],"regional":[98],"fusion":[99],"features":[100],"obtained":[102],"classifier":[107],"regressor.":[109],"Finally,":[110],"cross-scale":[111,142],"completed":[114],"obtain":[116],"best":[118],"classification,":[119],"dimensions":[120],"orientation":[122],"estimation":[123],"results.":[124],"The":[125],"experiments":[126],"conducted":[128],"KITTI":[131],"dataset":[132],"results":[135],"show":[136],"FPN-based":[138],"extraction":[140],"can":[145],"effectively":[146],"improve":[147],"ability":[150],"occluded":[153],"long-distance":[155],"objects.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
