{"id":"https://openalex.org/W4386803179","doi":"https://doi.org/10.1145/3624747","title":"Attention-guided Multi-modality Interaction Network for RGB-D Salient Object Detection","display_name":"Attention-guided Multi-modality Interaction Network for RGB-D Salient Object Detection","publication_year":2023,"publication_date":"2023-09-16","ids":{"openalex":"https://openalex.org/W4386803179","doi":"https://doi.org/10.1145/3624747"},"language":"en","primary_location":{"id":"doi:10.1145/3624747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624747","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5101688784","display_name":"Ruimin Wang","orcid":"https://orcid.org/0009-0007-8349-0568"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0007-8349-0568","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016323852","display_name":"Fasheng Wang","orcid":"https://orcid.org/0000-0002-0946-0789"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fasheng Wang","raw_affiliation_strings":["Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0000-0002-0946-0789","affiliations":[{"raw_affiliation_string":"Dalian Minzu University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009183422","display_name":"Yiming Su","orcid":"https://orcid.org/0009-0005-2773-9969"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Su","raw_affiliation_strings":["Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0005-2773-9969","affiliations":[{"raw_affiliation_string":"Dalian Minzu University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700550","display_name":"Jing Sun","orcid":"https://orcid.org/0000-0003-1389-1562"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Sun","raw_affiliation_strings":["Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0000-0003-1389-1562","affiliations":[{"raw_affiliation_string":"Dalian Minzu University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014712849","display_name":"Fuming Sun","orcid":"https://orcid.org/0000-0003-3932-2712"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuming Sun","raw_affiliation_strings":["Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0000-0003-3932-2712","affiliations":[{"raw_affiliation_string":"Dalian Minzu University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616471","display_name":"Haojie Li","orcid":"https://orcid.org/0000-0003-3882-2205"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Li","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-2205","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4036,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94237991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"3","first_page":"1","last_page":"22"},"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":0.9815999865531921,"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":0.9787999987602234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7852376699447632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6914243102073669},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6773012280464172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669973134994507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6224052906036377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5341134667396545},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.532970666885376},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5303080081939697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4792780578136444},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4591919481754303},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.45659881830215454},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43473008275032043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21226167678833008},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.156762033700943}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7852376699447632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914243102073669},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6773012280464172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669973134994507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6224052906036377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5341134667396545},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.532970666885376},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5303080081939697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4792780578136444},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4591919481754303},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.45659881830215454},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43473008275032043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21226167678833008},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.156762033700943},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624747","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G3117123538","display_name":"\u8fd0\u52a8\u7a81\u53d8\u4e0e\u5916\u89c2\u5267\u53d8\u7684\u76ee\u6807\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3454858041","display_name":null,"funder_award_id":"61972068, 61976042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8060929076","display_name":null,"funder_award_id":"61976042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8770365734","display_name":null,"funder_award_id":"XLYC2007023","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1686810756","https://openalex.org/W1772076007","https://openalex.org/W1905829557","https://openalex.org/W1966025376","https://openalex.org/W1976409045","https://openalex.org/W1994922096","https://openalex.org/W2002781701","https://openalex.org/W2039298799","https://openalex.org/W2065985528","https://openalex.org/W2100470808","https://openalex.org/W2160613239","https://openalex.org/W2194775991","https://openalex.org/W2343077198","https://openalex.org/W2752782242","https://openalex.org/W2757028014","https://openalex.org/W2798825526","https://openalex.org/W2804610335","https://openalex.org/W2884585870","https://openalex.org/W2912500072","https://openalex.org/W2921653116","https://openalex.org/W2923601983","https://openalex.org/W2928165649","https://openalex.org/W2935854115","https://openalex.org/W2948300571","https://openalex.org/W2948500402","https://openalex.org/W2955060956","https://openalex.org/W2957414648","https://openalex.org/W2962159375","https://openalex.org/W2963112696","https://openalex.org/W2963488291","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2990946490","https://openalex.org/W3002301267","https://openalex.org/W3003376220","https://openalex.org/W3018276607","https://openalex.org/W3034320133","https://openalex.org/W3035357085","https://openalex.org/W3035687312","https://openalex.org/W3037516378","https://openalex.org/W3048216881","https://openalex.org/W3080122069","https://openalex.org/W3093213431","https://openalex.org/W3094802760","https://openalex.org/W3097053213","https://openalex.org/W3097725659","https://openalex.org/W3098389804","https://openalex.org/W3107944836","https://openalex.org/W3108421143","https://openalex.org/W3108822985","https://openalex.org/W3114152269","https://openalex.org/W3114848016","https://openalex.org/W3118710621","https://openalex.org/W3122111862","https://openalex.org/W3135874576","https://openalex.org/W3138516171","https://openalex.org/W3140110584","https://openalex.org/W3152765238","https://openalex.org/W3160789159","https://openalex.org/W3164802490","https://openalex.org/W3173882198","https://openalex.org/W3173910370","https://openalex.org/W3176009039","https://openalex.org/W3177040887","https://openalex.org/W3199401956","https://openalex.org/W3206198586","https://openalex.org/W3207668590","https://openalex.org/W3207804100","https://openalex.org/W3212022073","https://openalex.org/W3212645988","https://openalex.org/W4205688290","https://openalex.org/W4205971281","https://openalex.org/W4206420686","https://openalex.org/W4213091441","https://openalex.org/W4214561053","https://openalex.org/W4214696292","https://openalex.org/W4214831601","https://openalex.org/W4224242030","https://openalex.org/W4224247218","https://openalex.org/W4226017195","https://openalex.org/W4226354398","https://openalex.org/W4236965008","https://openalex.org/W4285163934","https://openalex.org/W4285242672","https://openalex.org/W4296554086","https://openalex.org/W4306779107","https://openalex.org/W4308449898","https://openalex.org/W4312366074","https://openalex.org/W4312544276","https://openalex.org/W4312612915","https://openalex.org/W4377096805","https://openalex.org/W4386075867"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2385859805","https://openalex.org/W2369710579","https://openalex.org/W2530972254","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381"],"abstract_inverted_index":{"The":[0,23,63,138],"past":[1],"decade":[2],"has":[3],"witnessed":[4],"great":[5],"progress":[6],"in":[7,160],"RGB-D":[8,232],"salient":[9,71,78,136],"object":[10],"detection":[11,51,217],"(SOD).":[12],"However,":[13],"there":[14],"are":[15],"two":[16],"bottlenecks":[17],"that":[18],"limit":[19],"its":[20],"further":[21,174],"development.":[22],"first":[24],"one":[25,65],"is":[26,55,66,90,148],"low-quality":[27,42],"depth":[28,36,43,60,102,205],"maps.":[29],"Most":[30],"existing":[31],"methods":[32,228],"directly":[33],"use":[34],"raw":[35],"maps":[37,61,72],"to":[38,49,58,68,116,133,150,154,164,189],"perform":[39],"detection,":[40],"but":[41],"images":[44],"can":[45,209],"bring":[46],"negative":[47],"impacts":[48],"the":[50,117,156,168,171,176,193,216,222],"performance.":[52,218],"Hence,":[53],"it":[54],"not":[56],"desirable":[57],"utilize":[59,151],"indiscriminately.":[62],"other":[64],"how":[67],"effectively":[69],"predict":[70],"with":[73],"clear":[74],"boundary":[75],"and":[76,206],"complete":[77],"region.":[79,137],"To":[80,173],"address":[81],"these":[82,200],"problems,":[83],"an":[84],"Attention-Guided":[85],"Multi-Modality":[86],"Interaction":[87],"Network":[88],"(AMINet)":[89],"proposed.":[91],"First,":[92],"we":[93,120,178],"propose":[94,121,179],"a":[95,161],"new":[96],"quality":[97],"enhancement":[98],"strategy":[99],"for":[100,167,192],"unreliable":[101],"images,":[103],"named":[104],"D":[105],"epth":[106],"E":[107],"nhancement":[108],"M":[109,124,128,143],"odule":[110,129,144],"(":[111,130,145,186],"DEM":[112],").":[113],"With":[114],"respect":[115],"second":[118],"issue,":[119],"C":[122],"ross-":[123],"odality":[125],"A":[126,141,180],"ttention":[127],"CMAM":[131],")":[132,147,188],"rapidly":[134],"locate":[135],"B":[139,184],"oundary-":[140],"ware":[142],"BAM":[146],"designed":[149],"high-level":[152],"feature":[153,158],"guide":[155],"low-level":[157],"generation":[159],"top-down":[162],"way":[163],"make":[165],"up":[166],"dilution":[169],"of":[170,195],"boundary.":[172],"improve":[175],"accuracy,":[177],"trous":[181],"R":[182],"efined":[183],"lock":[185],"ARB":[187],"adaptively":[190],"compensate":[191],"shortcoming":[194],"atrous":[196],"convolution.":[197],"By":[198],"integrating":[199],"interactive":[201],"modules,":[202],"features":[203],"from":[204],"RGB":[207],"streams":[208],"be":[210],"refined":[211],"efficiently,":[212],"which":[213],"consequently":[214],"boosts":[215],"Experimental":[219],"results":[220],"demonstrate":[221],"proposed":[223],"AMINet":[224],"exceeds":[225],"state-of-the-art":[226],"(SOTA)":[227],"on":[229],"several":[230],"public":[231],"datasets.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}