{"id":"https://openalex.org/W4285104228","doi":"https://doi.org/10.1145/3532213.3532275","title":"Weakly-supervised Salient Object Detection with Label Decoupling Siamese Network","display_name":"Weakly-supervised Salient Object Detection with Label Decoupling Siamese Network","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285104228","doi":"https://doi.org/10.1145/3532213.3532275"},"language":"en","primary_location":{"id":"doi:10.1145/3532213.3532275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","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/A5100437902","display_name":"Xiaowen Liu","orcid":"https://orcid.org/0000-0003-4139-1127"},"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":true,"raw_author_name":"Xiaowen Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033014667","display_name":"Jichang Guo","orcid":null},"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, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 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, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100437902"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46202874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"418"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9832000136375427,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9800000190734863,"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":0.7898396253585815},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7797591090202332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748914361000061},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5856980681419373},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5797661542892456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5155127048492432},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47327542304992676},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.45859140157699585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17747175693511963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898396253585815},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7797591090202332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748914361000061},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5856980681419373},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5797661542892456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5155127048492432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47327542304992676},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.45859140157699585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17747175693511963},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3532213.3532275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","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/W1686810756","https://openalex.org/W1894057436","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2128370471","https://openalex.org/W2160398355","https://openalex.org/W2740667773","https://openalex.org/W2777511827","https://openalex.org/W2788351528","https://openalex.org/W2795251047","https://openalex.org/W2795628365","https://openalex.org/W2796255296","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2807746031","https://openalex.org/W2934493198","https://openalex.org/W2937549930","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2963020481","https://openalex.org/W2963032190","https://openalex.org/W2963706010","https://openalex.org/W2976858962","https://openalex.org/W2987701848","https://openalex.org/W3034185160","https://openalex.org/W3034453930","https://openalex.org/W3156154235","https://openalex.org/W4241071816","https://openalex.org/W4249142012","https://openalex.org/W4300766661","https://openalex.org/W6651016250","https://openalex.org/W6672295943","https://openalex.org/W6729579780","https://openalex.org/W6750645135","https://openalex.org/W6760874914","https://openalex.org/W6765841262"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W1986582023","https://openalex.org/W2966829450","https://openalex.org/W4285328440","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4399290976","https://openalex.org/W4313644201"],"abstract_inverted_index":{"Weakly-supervised":[0],"salient":[1,73,96],"object":[2,74,97],"detection":[3,19,120,133],"(SOD)":[4],"does":[5],"not":[6],"require":[7],"a":[8,26,103,111,128],"lot":[9],"of":[10,21,52,66,87,117,123,167],"manually":[11],"annotated":[12],"pixel-level":[13,181],"labels.":[14,40],"To":[15,113],"further":[16],"improve":[17,114],"the":[18,50,64,72,77,88,92,115,118,124,147,165],"accuracy":[20,116],"weakly-supervised":[22,34,45,131,173],"SOD,":[23],"we":[24,82,126],"introduce":[25],"label":[27,78,182],"decoupling":[28,79],"siamese":[29,80],"network":[30,149],"(LDSN),":[31],"which":[32,47,136],"implements":[33],"SOD":[35,153,174],"by":[36],"learning":[37,143],"from":[38],"scribble":[39,67,89],"Scribble":[41],"labels":[42,68,90],"are":[43],"novel":[44],"labels,":[46],"can":[48],"reduce":[49],"cost":[51],"manual":[53],"annotating":[54],"and":[55,91,98,121,141,176],"provide":[56],"good":[57],"interaction":[58],"for":[59],"users.":[60],"In":[61],"previous":[62],"methods,":[63,175],"use":[65,86],"mainly":[69],"focuses":[70],"on":[71,155],"region.":[75],"With":[76],"network,":[81,125],"make":[83],"more":[84],"adequately":[85],"complementary":[93,104],"relationship":[94],"between":[95],"background.":[99],"We":[100,145],"also":[101],"propose":[102],"self-supervised":[105],"loss":[106],"(CSS":[107],"Loss)":[108],"to":[109,171],"realize":[110],"self-supervision.":[112],"edge":[119,132],"interpretability":[122],"design":[127],"gradient":[129],"priors":[130],"module":[134],"(GWEM),":[135],"combines":[137],"traditional":[138],"image":[139],"processing":[140],"deep":[142],"methods.":[144,184],"compare":[146],"proposed":[148],"with":[150,179],"6":[151],"state-of-the-art":[152],"methods":[154],"5":[156],"widely":[157],"used":[158],"datasets.":[159],"The":[160],"experiment":[161],"results":[162],"show":[163],"that":[164],"performance":[166],"LDSN":[168],"is":[169,177],"superior":[170],"existing":[172],"compared":[178],"several":[180],"supervised":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}