{"id":"https://openalex.org/W2981000764","doi":"https://doi.org/10.1109/access.2019.2948062","title":"Salient Object Detection: Integrate Salient Features in the Deep Learning Framework","display_name":"Salient Object Detection: Integrate Salient Features in the Deep Learning Framework","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981000764","doi":"https://doi.org/10.1109/access.2019.2948062","mag":"2981000764"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948062","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08873651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08873651.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043873168","display_name":"Qixin Chen","orcid":"https://orcid.org/0000-0002-3733-8641"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixin Chen","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406961","display_name":"Tie Liu","orcid":"https://orcid.org/0000-0002-3251-0158"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie Liu","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3251-0158","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924785","display_name":"Yuanyuan Shang","orcid":"https://orcid.org/0000-0003-1786-6487"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Shang","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026412163","display_name":"Zhuhong Shao","orcid":"https://orcid.org/0000-0002-4847-282X"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhong Shao","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027989885","display_name":"Hui Ding","orcid":"https://orcid.org/0000-0002-1920-7613"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ding","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9925,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80788113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"152483","last_page":"152492"},"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/T11094","display_name":"Face Recognition and Perception","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.953499972820282,"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/salient","display_name":"Salient","score":0.8410348296165466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7536642551422119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6190975904464722},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5510287880897522},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5051947236061096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36937153339385986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3208792805671692}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8410348296165466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536642551422119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190975904464722},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5510287880897522},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5051947236061096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36937153339385986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3208792805671692}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2948062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948062","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08873651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f82422481934e07a45d8105a1f1645d","is_oa":true,"landing_page_url":"https://doaj.org/article/3f82422481934e07a45d8105a1f1645d","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":"IEEE Access, Vol 7, Pp 152483-152492 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948062","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08873651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2910335040","display_name":null,"funder_award_id":"61603022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092572783","display_name":null,"funder_award_id":"61876112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6462025472","display_name":null,"funder_award_id":"61601311","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2981000764.pdf","grobid_xml":"https://content.openalex.org/works/W2981000764.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1894057436","https://openalex.org/W1954128991","https://openalex.org/W1996326832","https://openalex.org/W2002781701","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2086791339","https://openalex.org/W2128272608","https://openalex.org/W2145227859","https://openalex.org/W2161185676","https://openalex.org/W2293332611","https://openalex.org/W2295107390","https://openalex.org/W2461475918","https://openalex.org/W2519528544","https://openalex.org/W2573630482","https://openalex.org/W2605929543","https://openalex.org/W2621393357","https://openalex.org/W2737677090","https://openalex.org/W2738853914","https://openalex.org/W2763554813","https://openalex.org/W2798791651","https://openalex.org/W2798807298","https://openalex.org/W2884555738","https://openalex.org/W2909494862","https://openalex.org/W2938031345","https://openalex.org/W2962858109","https://openalex.org/W2963032190","https://openalex.org/W2963299740","https://openalex.org/W2963906836","https://openalex.org/W2986825110","https://openalex.org/W2990984982","https://openalex.org/W3137241515","https://openalex.org/W4239147634","https://openalex.org/W4293584584","https://openalex.org/W6639359414","https://openalex.org/W6697443983","https://openalex.org/W6736317898","https://openalex.org/W6750227808","https://openalex.org/W6757373153","https://openalex.org/W6766759761"],"related_works":["https://openalex.org/W2970686063","https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W3201484345","https://openalex.org/W2968299681","https://openalex.org/W4254103348","https://openalex.org/W2607572884","https://openalex.org/W2384426242","https://openalex.org/W3005834710","https://openalex.org/W2942382086"],"abstract_inverted_index":{"Salient":[0],"object":[1],"detection":[2,143],"in":[3,37,104,121,148],"complex":[4,122,149],"environments":[5],"brings":[6],"the":[7,10,27,42,49,59,63,74,79,95,100,105,108,114,127,131,142],"challenge":[8],"from":[9],"collections":[11],"of":[12,15,30,73,107,116,133,145],"large":[13],"number":[14,29],"training":[16,31,96],"images":[17],"for":[18,33],"deep":[19,64],"learning":[20,65],"algorithm.":[21],"It":[22],"is":[23,91],"difficult":[24],"to":[25,57,77,81,93,136],"collect":[26],"enough":[28],"data":[32],"varied":[34],"salient":[35,43,60,83,109,119,146],"objects":[36,44,120,147],"different":[38],"scenes,":[39],"and":[40,67,98,140],"furthermore":[41],"are":[45],"usually":[46],"compared":[47],"with":[48],"background.":[50],"This":[51],"paper":[52],"proposes":[53],"a":[54,69,87],"novel":[55],"method":[56,90],"integrate":[58],"features":[61,139],"into":[62],"framework,":[66],"design":[68],"parallel":[70],"multi-scale":[71],"structure":[72],"neural":[75,134],"network":[76],"enhance":[78],"ability":[80,132],"detect":[82],"objects.":[84],"In":[85],"addition,":[86],"multiple":[88],"stage":[89],"proposed":[92,128],"optimize":[94],"process":[97],"make":[99],"datasets":[101],"more":[102],"prominent":[103],"commonality":[106],"features,":[110],"which":[111],"effectively":[112],"reduces":[113],"difficulty":[115],"correctly":[117],"distinguishing":[118],"environments.":[123],"Experiments":[124],"show":[125],"that":[126],"approach":[129],"enhances":[130],"networks":[135],"learn":[137],"specified":[138],"improves":[141],"effect":[144],"scenes.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}