{"id":"https://openalex.org/W3115984840","doi":"https://doi.org/10.1109/wcsp49889.2020.9299817","title":"Sparse Reconstruction on Robust Dictionary for Accurate Salient Object Detection","display_name":"Sparse Reconstruction on Robust Dictionary for Accurate Salient Object Detection","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3115984840","doi":"https://doi.org/10.1109/wcsp49889.2020.9299817","mag":"3115984840"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100384655","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9223-2615"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065378241","display_name":"Yi Mao","orcid":"https://orcid.org/0000-0002-8624-772X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Mao","raw_affiliation_strings":["Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749302","display_name":"Guodong Wu","orcid":"https://orcid.org/0000-0002-8903-9694"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guodong Wu","raw_affiliation_strings":["The 61516 Troops of the People\u2019s Liberation Army, Beijing, China","The 61516 Troops of the People's Liberation Army, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The 61516 Troops of the People\u2019s Liberation Army, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"The 61516 Troops of the People's Liberation Army, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357107","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-6736-6566"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073093512","display_name":"Hehao Niu","orcid":"https://orcid.org/0000-0002-6423-3482"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hehao Niu","raw_affiliation_strings":["Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colleage of Electronic Engineering, Nation University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025131129","display_name":"Lin Du","orcid":"https://orcid.org/0000-0003-2137-6624"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Du","raw_affiliation_strings":["Colleage of Comunications Engineering, Army Engineering University of PLA, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colleage of Comunications Engineering, Army Engineering University of PLA, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43564455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"591","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":0.9857000112533569,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9664000272750854,"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/benchmark","display_name":"Benchmark (surveying)","score":0.722748339176178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7210118770599365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999815106391907},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6902790069580078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6644762754440308},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6574621796607971},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5337193012237549},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4496050179004669},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.440591961145401},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4311858117580414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37307292222976685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2256876826286316}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.722748339176178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210118770599365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999815106391907},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6902790069580078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6644762754440308},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6574621796607971},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5337193012237549},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4496050179004669},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.440591961145401},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4311858117580414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37307292222976685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2256876826286316},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1984452441","https://openalex.org/W2002574940","https://openalex.org/W2002781701","https://openalex.org/W2032007016","https://openalex.org/W2047670868","https://openalex.org/W2055158687","https://openalex.org/W2059242188","https://openalex.org/W2060550624","https://openalex.org/W2087100776","https://openalex.org/W2100470808","https://openalex.org/W2107055466","https://openalex.org/W2117301471","https://openalex.org/W2118246710","https://openalex.org/W2121378474","https://openalex.org/W2122076510","https://openalex.org/W2125378844","https://openalex.org/W2128340050","https://openalex.org/W2129933262","https://openalex.org/W2135957164","https://openalex.org/W2142470670","https://openalex.org/W2146103513","https://openalex.org/W2147347517","https://openalex.org/W2546160422","https://openalex.org/W2963032190","https://openalex.org/W3103757879","https://openalex.org/W6639359414","https://openalex.org/W6639624585","https://openalex.org/W6651042577","https://openalex.org/W6659329635","https://openalex.org/W6662642246","https://openalex.org/W6664127744","https://openalex.org/W6676006193","https://openalex.org/W6678542115","https://openalex.org/W6742879749"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W2378211422","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W2745001401","https://openalex.org/W4248336175","https://openalex.org/W4321353415","https://openalex.org/W4287991909","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Considering":[0],"the":[1,32,36,51,82,87,114,120],"low":[2,66],"accuracy":[3],"of":[4,35,55,92,100],"existing":[5],"salient":[6,23,37],"object":[7,24],"detection":[8],"algorithms":[9],"in":[10],"addressing":[11],"boundary":[12,42,68],"objects":[13,38],"problem,":[14],"this":[15],"paper":[16],"proposes":[17],"a":[18],"novel":[19],"algorithm":[20,116],"which":[21],"detects":[22],"through":[25],"Sparse":[26],"Reconstruction":[27],"on":[28,47,86,123],"Robust":[29],"Dictionary.":[30],"Firstly,":[31],"prior":[33],"information":[34],"connected":[39],"with":[40,105],"image":[41],"is":[43,96,117],"statistically":[44],"analyzed":[45],"based":[46],"public":[48],"datasets.":[49,125],"Secondly,":[50],"evaluation":[52],"and":[53,70],"optimization":[54],"dictionary":[56,63],"elements":[57],"are":[58,78],"performed":[59],"to":[60,81,119],"construct":[61],"robust":[62],"via":[64],"removing":[65],"background":[67,73],"superpixels":[69],"adding":[71],"high":[72],"internal":[74],"superpixels.":[75],"saliency":[76,94],"maps":[77,95],"generated":[79],"according":[80],"sparse":[83],"reconstruction":[84],"errors":[85],"new":[88],"dictionary.":[89],"Finally,":[90],"integration":[91],"multi-level":[93],"achieved":[97],"by":[98],"means":[99],"linear":[101],"weighted":[102],"fusion":[103],"strategy":[104],"learned":[106],"weight":[107],"coefficients.":[108],"Extensive":[109],"experimental":[110],"results":[111],"demonstrate":[112],"that":[113],"proposed":[115],"superior":[118],"state-of-the-art":[121],"models":[122],"benchmark":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
