{"id":"https://openalex.org/W4296437248","doi":"https://doi.org/10.1109/tmm.2022.3204440","title":"Deep Label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning","display_name":"Deep Label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296437248","doi":"https://doi.org/10.1109/tmm.2022.3204440"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3204440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3204440","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5033161342","display_name":"Huihui Yue","orcid":"https://orcid.org/0000-0001-8620-7093"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Yue","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445482","display_name":"Jichang Guo","orcid":"https://orcid.org/0000-0003-3130-1685"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichang Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3130-1685","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037655210","display_name":"Xiangjun Yin","orcid":"https://orcid.org/0000-0002-4829-9019"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Yin","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4829-9019","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388205","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-7110-5948"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005146104","display_name":"Sida Zheng","orcid":"https://orcid.org/0000-0002-4752-4923"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sida Zheng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36675472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":null,"first_page":"6067","last_page":"6078"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9790999889373779,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/notation","display_name":"Notation","score":0.7311528921127319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6233739852905273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511059165000916},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5153064727783203},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5034019351005554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4514427185058594},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4503915011882782},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36954057216644287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2835626006126404},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13773256540298462}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.7311528921127319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233739852905273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511059165000916},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5153064727783203},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5034019351005554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4514427185058594},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4503915011882782},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36954057216644287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2835626006126404},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13773256540298462}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3204440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3204440","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5699999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5104396149","display_name":null,"funder_award_id":"62171315","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2290904946","https://openalex.org/W2569272946","https://openalex.org/W2740667773","https://openalex.org/W2765161239","https://openalex.org/W2777511827","https://openalex.org/W2804743778","https://openalex.org/W2807746031","https://openalex.org/W2808361645","https://openalex.org/W2889081631","https://openalex.org/W2891177538","https://openalex.org/W2900745190","https://openalex.org/W2921286426","https://openalex.org/W2921653116","https://openalex.org/W2938260698","https://openalex.org/W2939217524","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2954204101","https://openalex.org/W2961348656","https://openalex.org/W2962159375","https://openalex.org/W2963706010","https://openalex.org/W2963781443","https://openalex.org/W2964352379","https://openalex.org/W2965010421","https://openalex.org/W2982374186","https://openalex.org/W2989161706","https://openalex.org/W2996884277","https://openalex.org/W2997316506","https://openalex.org/W2998841120","https://openalex.org/W3011098590","https://openalex.org/W3011771465","https://openalex.org/W3019728440","https://openalex.org/W3022015146","https://openalex.org/W3030079400","https://openalex.org/W3034453930","https://openalex.org/W3034692043","https://openalex.org/W3035422681","https://openalex.org/W3035633116","https://openalex.org/W3035687312","https://openalex.org/W3040793855","https://openalex.org/W3090092719","https://openalex.org/W3101066727","https://openalex.org/W3103915668","https://openalex.org/W3104724358","https://openalex.org/W3111213018","https://openalex.org/W3117702776","https://openalex.org/W3120113457","https://openalex.org/W3120636940","https://openalex.org/W3120780185","https://openalex.org/W3143864123","https://openalex.org/W3144906631","https://openalex.org/W3145248306","https://openalex.org/W3156154235","https://openalex.org/W3165309286","https://openalex.org/W3177087374","https://openalex.org/W3179147540","https://openalex.org/W3195259700","https://openalex.org/W3204446219","https://openalex.org/W3209732904","https://openalex.org/W4214561053","https://openalex.org/W4288101951","https://openalex.org/W6631190155","https://openalex.org/W6746466744","https://openalex.org/W6768279175"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W2504004674","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2498744856","https://openalex.org/W1595229445","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W2380243858"],"abstract_inverted_index":{"Due":[0],"to":[1,38,90,145,195],"the":[2,39,92,97,111,119,126,138,142,147,176],"excellent":[3],"semantics":[4],"extraction":[5],"capabilities,":[6],"deep":[7,53,121],"learning":[8,122],"methods":[9,20,201],"have":[10],"significantly":[11],"progressed":[12],"in":[13],"salient":[14],"object":[15],"detection":[16],"(SOD).":[17],"However,":[18],"these":[19,34],"often":[21],"require":[22,155],"time-consuming":[23],"pre-training":[24,156],"and":[25,67,85,191,198],"large":[26,158],"training":[27],"datasets":[28],"with":[29],"ground":[30],"truth.":[31],"To":[32],"address":[33],"issues,":[35],"by":[36],"referring":[37],"framework":[40],"known":[41],"as":[42,129],"\u201cdeep":[43],"image":[44,132],"prior":[45,55,140],"(DIP),\u201d":[46],"we":[47,164],"propose":[48,165],"a":[49,86,130,166],"SOD":[50,127],"method":[51,186],"called":[52],"label":[54],"network":[56,179],"(DLPNet),":[57],"which":[58,109,170],"consists":[59],"of":[60,118,141,178],"<inline-formula":[61,68,75,98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,69,76,99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[63,70,77,100],"notation=\"LaTeX\">$\\mathcal":[64,71,78,101],"A$</tex-math></inline-formula>":[65,79],"-stream":[66,80,103],"B$</tex-math></inline-formula>":[72,102],"-stream.":[73],"The":[74],"includes":[81],"two":[82,106],"cascaded":[83,107],"UNets":[84],"simple":[87],"CNNs":[88],"module":[89],"extract":[91],"initial":[93,113],"saliency":[94,114,148],"map,":[95],"while":[96],"contains":[104],"only":[105,137],"UNets,":[108],"refines":[110],"extracted":[112],"map.":[115,149],"Unlike":[116],"most":[117],"current":[120],"methods,":[123],"DLPNet":[124,152],"views":[125],"task":[128],"conditional":[131],"generation":[133],"problem,":[134],"relying":[135],"on":[136,202],"internal":[139],"input":[143],"itself":[144],"generate":[146],"Hence,":[150],"our":[151,185],"does":[153],"not":[154],"or":[157],"annotated":[159],"/":[160],"unannotated":[161],"datasets.":[162],"Furthermore,":[163],"morphology":[167],"operation":[168],"scheme,":[169],"creates":[171],"rich":[172],"pseudo-labels":[173],"for":[174],"facilitating":[175],"updating":[177],"weights.":[180],"Extensive":[181],"experiments":[182],"demonstrate":[183],"that":[184],"outperforms":[187],"state-of-the-art":[188,196],"unsupervised":[189],"techniques":[190],"is":[192],"even":[193],"comparable":[194],"supervised":[197,200],"weakly":[199],"different":[203],"evaluation":[204],"metrics.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
