{"id":"https://openalex.org/W3087221416","doi":"https://doi.org/10.1109/tvcg.2020.3023636","title":"Stage-wise Salient Object Detection in 360\u00b0 Omnidirectional Image via Object-level Semantical Saliency Ranking","display_name":"Stage-wise Salient Object Detection in 360\u00b0 Omnidirectional Image via Object-level Semantical Saliency Ranking","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3087221416","doi":"https://doi.org/10.1109/tvcg.2020.3023636","mag":"3087221416","pmid":"https://pubmed.ncbi.nlm.nih.gov/32941153"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.3023636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3023636","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5035604580","display_name":"Guangxiao Ma","orcid":"https://orcid.org/0000-0002-8968-9304"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangxiao Ma","raw_affiliation_strings":["Qingdao Research Institute, Beihang University"],"affiliations":[{"raw_affiliation_string":"Qingdao Research Institute, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Peng Cheng Laboratory, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Peng Cheng Laboratory, Shenzhen","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030724247","display_name":"Chenglizhao Chen","orcid":"https://orcid.org/0000-0001-9982-5667"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglizhao Chen","raw_affiliation_strings":["Qingdao University"],"affiliations":[{"raw_affiliation_string":"Qingdao University","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Peng Cheng Laboratory, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Peng Cheng Laboratory, Shenzhen","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science, Stony Brook University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035604580"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":4.201,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.95382133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"12","first_page":"3535","last_page":"3545"},"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":0.9812999963760376,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9740999937057495,"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":0.7676109075546265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7061212062835693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6726858019828796},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6447217464447021},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5964964628219604},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5576323866844177},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.546321451663971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49221983551979065},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4868451952934265},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46490514278411865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.442132830619812},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4231334924697876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676109075546265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7061212062835693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6726858019828796},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6447217464447021},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5964964628219604},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5576323866844177},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.546321451663971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49221983551979065},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4868451952934265},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46490514278411865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.442132830619812},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4231334924697876}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2020.3023636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3023636","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:32941153","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32941153","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1642155615","display_name":null,"funder_award_id":"IIS0949467","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G3423720519","display_name":null,"funder_award_id":"61802215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4898168654","display_name":null,"funder_award_id":"IIS-1049448","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G6359589298","display_name":null,"funder_award_id":"IIS-1047715","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G7661417752","display_name":null,"funder_award_id":"IIS-1715985","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8297503589","display_name":null,"funder_award_id":"ZR201807120086","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8479623035","display_name":null,"funder_award_id":"61806106","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1942214758","https://openalex.org/W1947031653","https://openalex.org/W1968702067","https://openalex.org/W1969226866","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2156777442","https://openalex.org/W2159772167","https://openalex.org/W2169632643","https://openalex.org/W2461475918","https://openalex.org/W2471061664","https://openalex.org/W2518599539","https://openalex.org/W2531849700","https://openalex.org/W2561270043","https://openalex.org/W2569272946","https://openalex.org/W2588503511","https://openalex.org/W2611484204","https://openalex.org/W2612135493","https://openalex.org/W2731833015","https://openalex.org/W2739403480","https://openalex.org/W2798665861","https://openalex.org/W2799064164","https://openalex.org/W2803472033","https://openalex.org/W2884414611","https://openalex.org/W2895640967","https://openalex.org/W2902009049","https://openalex.org/W2910922521","https://openalex.org/W2939217524","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2962716998","https://openalex.org/W2963112696","https://openalex.org/W2963179609","https://openalex.org/W2963334022","https://openalex.org/W2963342032","https://openalex.org/W2963450895","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2964312929","https://openalex.org/W2969626490","https://openalex.org/W2973058802","https://openalex.org/W2981723426","https://openalex.org/W2986825110","https://openalex.org/W2990889494","https://openalex.org/W2990984982","https://openalex.org/W2998213057","https://openalex.org/W2999222884","https://openalex.org/W3003376220","https://openalex.org/W3024595043","https://openalex.org/W3099561715","https://openalex.org/W3121504768","https://openalex.org/W3122238731","https://openalex.org/W4235129407","https://openalex.org/W4239147634","https://openalex.org/W4254896795","https://openalex.org/W6639102338","https://openalex.org/W6683629251","https://openalex.org/W6765841262","https://openalex.org/W6767724773"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2130893381"],"abstract_inverted_index":{"The":[0],"2D":[1,69],"image":[2,16],"based":[3,17],"salient":[4,108,187],"object":[5,109],"detection":[6],"(SOD)":[7],"has":[8,19,101],"been":[9],"extensively":[10],"explored,":[11],"while":[12],"the":[13,36,44,52,72,81,96,116,127,142,149,157,180,195,229,236,249],"360\u00b0":[14,47,56,66,92,98,143,210],"omnidirectional":[15,57,93,211],"SOD":[18,48,90,99,144],"received":[20],"less":[21],"research":[22],"attention":[23],"and":[24,68,111,189,243],"there":[25],"exist":[26],"three":[27],"major":[28],"bottlenecks":[29],"that":[30,106,167,227],"are":[31],"limiting":[32],"its":[33],"performance.":[34],"Firstly,":[35],"currently":[37],"available":[38],"training":[39,45,82,128,172,196],"data":[40,83,129,197],"is":[41,154,223],"insufficient":[42],"for":[43,170],"of":[46,152,228],"deep":[49],"model.":[50],"Secondly,":[51],"visual":[53],"distortions":[54],"in":[55,61,91],"images":[58,67,212],"usually":[59],"result":[60],"large":[62,123],"feature":[63],"gap":[64],"between":[65],"images;":[70],"consequently,":[71],"widely":[73],"used":[74],"stage-wise":[75],"training-a":[76],"widely-used":[77],"solution":[78],"to":[79,155,178,185,193],"alleviate":[80,194],"shortage":[84,130,198],"problem,":[85,199],"becomes":[86],"infeasible":[87],"when":[88],"conducing":[89],"images.":[94],"Thirdly,":[95],"existing":[97,230],"approach":[100],"followed":[102],"a":[103,146,203],"multi-task":[104],"methodology":[105],"performs":[107],"localization":[110],"segmentation-like":[112],"saliency":[113,217],"refinement":[114],"at":[115],"same":[117],"time,":[118],"being":[119],"faced":[120],"with":[121,213,239],"extremely":[122],"problem":[124,160],"domain,":[125],"making":[126],"dilemma":[131],"even":[132],"worse.":[133],"To":[134],"tackle":[135],"all":[136,244],"these":[137],"issues,":[138],"this":[139],"paper":[140],"divides":[141],"into":[145,162],"multi-staqe":[147],"task,":[148],"key":[150],"rationale":[151],"which":[153],"decompose":[156],"original":[158],"complex":[159],"domain":[161],"sequential":[163],"easy":[164],"sub":[165],"problems":[166],"only":[168],"demand":[169],"small-scale":[171],"data.":[173],"Meanwhile,":[174],"we":[175,200,233],"learn":[176],"how":[177],"rank":[179],"\"object-level":[181],"semantical":[182,221],"saliency\",":[183],"aiming":[184],"locate":[186],"viewpoints":[188],"objects":[190],"accurately.":[191],"Specifically,":[192],"have":[201,234,247],"released":[202],"novel":[204],"dataset":[205],"named":[206],"360-SSOD,":[207],"containing":[208],"1,105":[209],"manually":[214],"annotated":[215],"object-level":[216],"ground":[218],"truth,":[219],"whose":[220],"distribution":[222],"more":[224],"balanced":[225],"than":[226],"dataset.":[231],"Also,":[232],"compared":[235],"proposed":[237],"method":[238],"13":[240],"SOTA":[241],"methods,":[242],"quantitative":[245],"results":[246],"demonstrated":[248],"performance":[250],"superiority.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
