{"id":"https://openalex.org/W3092630514","doi":"https://doi.org/10.1007/s41095-021-0256-2","title":"Light field salient object detection: A review and benchmark","display_name":"Light field salient object detection: A review and benchmark","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W3092630514","doi":"https://doi.org/10.1007/s41095-021-0256-2","mag":"3092630514"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-021-0256-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0256-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0256-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0256-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042631401","display_name":"Keren Fu","orcid":"https://orcid.org/0000-0002-3195-2077"},"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":"Keren Fu","raw_affiliation_strings":["College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053945150","display_name":"Yao Jiang","orcid":"https://orcid.org/0000-0001-5848-8000"},"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":"Yao Jiang","raw_affiliation_strings":["College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001285878","display_name":"Ge-Peng Ji","orcid":"https://orcid.org/0000-0001-7092-2877"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge-Peng Ji","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan 430072, China","School of Computer Science, Wuhan University, Wuhan, 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061274720","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-2592-1688"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"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":"Qijun Zhao","raw_affiliation_strings":["College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, and National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056294284","display_name":"Deng-Ping Fan","orcid":"https://orcid.org/0000-0002-5245-7518"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng-Ping Fan","raw_affiliation_strings":["Computer Vision Lab, ETH Zürich, Zürich, Switzerland","College of Computer Science, Nankai University, Tianjin, 300350, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab, ETH Zürich, Zürich, Switzerland","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, 300350, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061274720"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":5.8323,"has_fulltext":true,"cited_by_count":90,"citation_normalized_percentile":{"value":0.9752381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":"4","first_page":"509","last_page":"534"},"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":0.9912999868392944,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"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":0.8347882628440857},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8330434560775757},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.7393654584884644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822622418403625},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6156859993934631},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5997490882873535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776454210281372},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.485392689704895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4845268130302429},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4109388589859009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3398978114128113},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1028229296207428},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08079299330711365}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8347882628440857},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8330434560775757},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.7393654584884644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822622418403625},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6156859993934631},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5997490882873535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776454210281372},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.485392689704895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4845268130302429},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4109388589859009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398978114128113},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1028229296207428},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08079299330711365},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41095-021-0256-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0256-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0256-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.04968","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.04968","pdf_url":"https://arxiv.org/pdf/2010.04968","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s41095-021-0256-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0256-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0256-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1817649320","display_name":null,"funder_award_id":"61703077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3094421066","display_name":null,"funder_award_id":"61773270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4709256565","display_name":null,"funder_award_id":"62176169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8249999852","display_name":null,"funder_award_id":"62172228","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/W3092630514.pdf","grobid_xml":"https://content.openalex.org/works/W3092630514.grobid-xml"},"referenced_works_count":125,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1567302070","https://openalex.org/W1664751303","https://openalex.org/W1772076007","https://openalex.org/W1914596733","https://openalex.org/W1920234547","https://openalex.org/W1924457599","https://openalex.org/W1963915657","https://openalex.org/W1972606091","https://openalex.org/W1982075130","https://openalex.org/W2001933992","https://openalex.org/W2006180404","https://openalex.org/W2029661329","https://openalex.org/W2032007016","https://openalex.org/W2033362164","https://openalex.org/W2037954058","https://openalex.org/W2039298799","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2049776679","https://openalex.org/W2055180303","https://openalex.org/W2063366997","https://openalex.org/W2094786933","https://openalex.org/W2100470808","https://openalex.org/W2105557003","https://openalex.org/W2115273023","https://openalex.org/W2117301471","https://openalex.org/W2124219775","https://openalex.org/W2126532873","https://openalex.org/W2128254161","https://openalex.org/W2130184867","https://openalex.org/W2131297486","https://openalex.org/W2133515615","https://openalex.org/W2149694199","https://openalex.org/W2154063764","https://openalex.org/W2160613239","https://openalex.org/W2163369420","https://openalex.org/W2164084182","https://openalex.org/W2164996618","https://openalex.org/W2175023734","https://openalex.org/W2200825767","https://openalex.org/W2238402354","https://openalex.org/W2242689308","https://openalex.org/W2276795383","https://openalex.org/W2314707829","https://openalex.org/W2327871475","https://openalex.org/W2395611524","https://openalex.org/W2397402366","https://openalex.org/W2412782625","https://openalex.org/W2474876375","https://openalex.org/W2481240925","https://openalex.org/W2519882742","https://openalex.org/W2520274358","https://openalex.org/W2531563875","https://openalex.org/W2572591920","https://openalex.org/W2585592883","https://openalex.org/W2600144439","https://openalex.org/W2605929543","https://openalex.org/W2610074871","https://openalex.org/W2740667773","https://openalex.org/W2741745116","https://openalex.org/W2747862827","https://openalex.org/W2793847580","https://openalex.org/W2798606365","https://openalex.org/W2798715809","https://openalex.org/W2804743778","https://openalex.org/W2888232411","https://openalex.org/W2895340898","https://openalex.org/W2911293880","https://openalex.org/W2912662889","https://openalex.org/W2913602408","https://openalex.org/W2925753896","https://openalex.org/W2944209449","https://openalex.org/W2948300571","https://openalex.org/W2948510860","https://openalex.org/W2954204101","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2963032190","https://openalex.org/W2963136160","https://openalex.org/W2963529609","https://openalex.org/W2963819848","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2963868681","https://openalex.org/W2963906836","https://openalex.org/W2965638232","https://openalex.org/W2965985103","https://openalex.org/W2969316698","https://openalex.org/W2971242449","https://openalex.org/W2972919164","https://openalex.org/W2979794168","https://openalex.org/W2984615777","https://openalex.org/W2987701848","https://openalex.org/W2989161706","https://openalex.org/W2989676862","https://openalex.org/W2997089731","https://openalex.org/W3004780254","https://openalex.org/W3010616503","https://openalex.org/W3017068026","https://openalex.org/W3021737479","https://openalex.org/W3022971579","https://openalex.org/W3034287518","https://openalex.org/W3034320133","https://openalex.org/W3034388862","https://openalex.org/W3034684132","https://openalex.org/W3034961469","https://openalex.org/W3035106315","https://openalex.org/W3035284915","https://openalex.org/W3035633116","https://openalex.org/W3035687312","https://openalex.org/W3046565475","https://openalex.org/W3090619019","https://openalex.org/W3097053213","https://openalex.org/W3097725659","https://openalex.org/W3098389804","https://openalex.org/W3104979525","https://openalex.org/W3108608656","https://openalex.org/W3108822985","https://openalex.org/W3118710621","https://openalex.org/W3152765238","https://openalex.org/W3152845737","https://openalex.org/W3156127114","https://openalex.org/W3208625121","https://openalex.org/W6600696212"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2057495213"],"abstract_inverted_index":{"Salient":[0],"object":[1],"detection":[2,43,220],"(SOD)":[3],"is":[4,48,197],"a":[5,32,60,102,106,147,189,198],"long-standing":[6],"research":[7],"topic":[8],"in":[9,15,31,71],"computer":[10],"vision":[11],"with":[12,128],"increasing":[13],"interest":[14],"the":[16,55,72,159,237],"past":[17],"decade.":[18],"Since":[19],"light":[20,37,63,78,91,112,123,138,150,194,246],"fields":[21],"record":[22],"comprehensive":[23,57],"information":[24],"of":[25,34,161,202],"natural":[26],"scenes":[27],"that":[28],"benefit":[29],"SOD":[30,114,125,132,152,155,196],"number":[33],"ways,":[35],"using":[36],"field":[38,64,92,113,124,139,151,195,247],"inputs":[39,47],"to":[40,158],"improve":[41],"saliency":[42,73,219],"over":[44],"conventional":[45],"RGB":[46],"an":[49],"emerging":[50],"trend.":[51],"This":[52],"paper":[53],"provides":[54],"first":[56],"review":[58,87],"and":[59,82,85,105,144,153,169,175,183,207,228,231,244],"benchmark":[61,120,191],"for":[62,111,178],"SOD,":[65,93],"which":[66],"has":[67],"long":[68],"been":[69],"lacking":[70],"community.":[74],"Firstly,":[75],"we":[76,119,164],"introduce":[77],"fields,":[79],"including":[80,146,239],"theory":[81],"data":[83,168,187,205],"forms,":[84],"then":[86],"existing":[88],"studies":[89],"on":[90,134,210,226],"covering":[94],"ten":[95],"traditional":[96],"models,":[97,101,240],"seven":[98],"deep":[99],"learning-based":[100],"comparative":[103],"study,":[104],"brief":[107],"review.":[108],"Existing":[109],"datasets":[110,248],"are":[115,249],"also":[116],"summarized.":[117],"Secondly,":[118],"nine":[121,224],"representative":[122],"models":[126,133],"together":[127],"several":[129,233],"cutting-edge":[130],"RGB-D":[131,154],"four":[135],"widely":[136],"used":[137],"datasets,":[140,163,241],"providing":[141],"insightful":[142],"discussions":[143],"analyses,":[145],"comparison":[148],"between":[149],"models.":[156],"Due":[157],"inconsistency":[160],"current":[162],"further":[165],"generate":[166],"complete":[167],"supplement":[170],"focal":[171],"stacks,":[172],"depth":[173],"maps,":[174],"multi-view":[176],"images":[177],"them,":[179],"making":[180],"them":[181],"consistent":[182],"uniform.":[184],"Our":[185],"supplemental":[186],"make":[188],"universal":[190],"possible.":[192],"Lastly,":[193],"specialised":[199],"problem,":[200],"because":[201],"its":[203],"diverse":[204],"representations":[206],"high":[208],"dependency":[209],"acquisition":[211],"hardware,":[212],"so":[213],"it":[214],"differs":[215],"greatly":[216],"from":[217],"other":[218],"tasks.":[221],"We":[222],"provide":[223],"observations":[225],"challenges":[227],"future":[229],"directions,":[230],"outline":[232],"open":[234],"issues.":[235],"All":[236],"materials":[238],"benchmarking":[242],"results,":[243],"supplemented":[245],"publicly":[250],"available":[251],"at":[252],"https://github.com/kerenfu/LFSOD-Survey":[253],".":[254]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}