{"id":"https://openalex.org/W4225135439","doi":"https://doi.org/10.3390/sym14050904","title":"Object Detection Algorithm Based on Context Information and Self-Attention Mechanism","display_name":"Object Detection Algorithm Based on Context Information and Self-Attention Mechanism","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4225135439","doi":"https://doi.org/10.3390/sym14050904"},"language":"en","primary_location":{"id":"doi:10.3390/sym14050904","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14050904","pdf_url":"https://www.mdpi.com/2073-8994/14/5/904/pdf?version=1651713087","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/5/904/pdf?version=1651713087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101596111","display_name":"Liang Hong","orcid":"https://orcid.org/0000-0001-7854-7215"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liang","raw_affiliation_strings":["School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621162","display_name":"Hui Zhou","orcid":"https://orcid.org/0000-0002-6099-3679"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China"],"raw_orcid":"https://orcid.org/0000-0002-6099-3679","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603610","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-5975-9781"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044936505","display_name":"Ting Wu","orcid":"https://orcid.org/0000-0003-3660-2268"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wu","raw_affiliation_strings":["School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China"],"raw_orcid":"https://orcid.org/0000-0003-3660-2268","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100621162"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.729,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67456508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":"5","first_page":"904","last_page":"904"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9919999837875366,"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":0.9912999868392944,"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":0.8330829739570618},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7263548970222473},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6805382966995239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336557865142822},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5682408213615417},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.566908061504364},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5446961522102356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4713798463344574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4712021052837372},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.432504802942276},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.4296700954437256},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4291980564594269},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41855230927467346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.334434449672699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330829739570618},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7263548970222473},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6805382966995239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336557865142822},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5682408213615417},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.566908061504364},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5446961522102356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4713798463344574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4712021052837372},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.432504802942276},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.4296700954437256},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4291980564594269},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41855230927467346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.334434449672699},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14050904","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14050904","pdf_url":"https://www.mdpi.com/2073-8994/14/5/904/pdf?version=1651713087","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7d5c32ecab7948a2a632ef481b6b59d2","is_oa":true,"landing_page_url":"https://doaj.org/article/7d5c32ecab7948a2a632ef481b6b59d2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 5, p 904 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/5/904/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14050904","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14050904","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14050904","pdf_url":"https://www.mdpi.com/2073-8994/14/5/904/pdf?version=1651713087","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225135439.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1836465849","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2884585870","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963927307","https://openalex.org/W2964241181","https://openalex.org/W2964350391","https://openalex.org/W2982220924","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3106728613","https://openalex.org/W3172509117","https://openalex.org/W3215765066","https://openalex.org/W6620707391","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2089544495","https://openalex.org/W2079003682","https://openalex.org/W1555021777","https://openalex.org/W2913266608","https://openalex.org/W1964918325","https://openalex.org/W4206776094","https://openalex.org/W3150439626","https://openalex.org/W3154920669","https://openalex.org/W3121197456","https://openalex.org/W2060887160"],"abstract_inverted_index":{"Pursuing":[0],"an":[1,37,111,145],"object":[2,19,59],"detector":[3],"with":[4,31,44,92],"good":[5],"detection":[6,10,108,113,124],"accuracy":[7,120,147],"while":[8,78],"ensuring":[9],"speed":[11,122],"has":[12],"always":[13],"been":[14],"a":[15,24,32,65,87,93,106],"challenging":[16],"problem":[17],"in":[18],"detection.":[20],"This":[21],"paper":[22],"proposes":[23],"multi-scale":[25],"context":[26],"information":[27,101],"fusion":[28,90],"model":[29,143],"combined":[30],"self-attention":[33,45],"block":[34],"(CSA-Net).":[35],"First,":[36],"improved":[38],"backbone":[39],"network":[40],"ResNet-SA":[41],"is":[42,115],"designed":[43],"to":[46,72,117],"reduce":[47],"the":[48,51,58,80,119,126,129,137,151],"interference":[49],"of":[50,123,128,134,148],"image":[52],"background":[53],"area":[54],"and":[55,75,98,102,121,140],"focus":[56],"on":[57,150],"region.":[60],"Second,":[61],"this":[62,84],"work":[63,85],"introduces":[64],"receptive":[66,81],"field":[67],"feature":[68,89,103],"enhancement":[69],"module":[70],"(RFFE)":[71],"combine":[73],"local":[74],"global":[76],"features":[77],"increasing":[79],"field.":[82],"Then":[83],"adopts":[86],"spatial":[88],"pyramid":[91],"symmetrical":[94],"structure,":[95],"which":[96],"fuses":[97],"transfers":[99],"semantic":[100],"information.":[104],"Finally,":[105],"sibling":[107],"head":[109],"using":[110],"anchor-free":[112],"mechanism":[114],"applied":[116],"increase":[118],"at":[125],"end":[127],"model.":[130],"A":[131],"large":[132],"number":[133],"experiments":[135],"support":[136],"above":[138],"analysis":[139],"conclusions.":[141],"Our":[142],"achieves":[144],"average":[146],"46.8%":[149],"COCO":[152],"2017":[153],"test":[154],"set.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
