{"id":"https://openalex.org/W4286370722","doi":"https://doi.org/10.1109/lsp.2022.3192753","title":"Mutual-Guidance Transformer-Embedding Network for Video Salient Object Detection","display_name":"Mutual-Guidance Transformer-Embedding Network for Video Salient Object Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286370722","doi":"https://doi.org/10.1109/lsp.2022.3192753"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3192753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3192753","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5066772382","display_name":"Dingyao Min","orcid":null},"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"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingyao Min","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773781","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-7705-8505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Intelligent Policing Key Laboratory of Sichuan Province, Luzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Policing Key Laboratory of Sichuan Province, Luzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074744618","display_name":"Yukang Lu","orcid":null},"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"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukang Lu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042631401","display_name":"Keren Fu","orcid":"https://orcid.org/0000-0002-3195-2077"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"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, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"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, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066772382"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":1.5114,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83624064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"1674","last_page":"1678"},"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":0.9990000128746033,"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":0.9927999973297119,"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":0.7384180426597595},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6907039880752563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589725613594055},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.553511381149292},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5295760631561279},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5146280527114868},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5095246434211731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4606182277202606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4481290876865387},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43771249055862427},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1489640474319458},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0921783447265625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384180426597595},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6907039880752563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589725613594055},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.553511381149292},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5295760631561279},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5146280527114868},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5095246434211731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4606182277202606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4481290876865387},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43771249055862427},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1489640474319458},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0921783447265625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3192753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3192753","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4542985435","display_name":null,"funder_award_id":"62176170","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/G5475934930","display_name":null,"funder_award_id":"61971005","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":46,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W2046835352","https://openalex.org/W2076756823","https://openalex.org/W2097073572","https://openalex.org/W2100470808","https://openalex.org/W2110019070","https://openalex.org/W2125188192","https://openalex.org/W2130184867","https://openalex.org/W2138682569","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2470139095","https://openalex.org/W2472480899","https://openalex.org/W2556053754","https://openalex.org/W2556388456","https://openalex.org/W2588503511","https://openalex.org/W2740667773","https://openalex.org/W2757028014","https://openalex.org/W2793029440","https://openalex.org/W2799108379","https://openalex.org/W2803610340","https://openalex.org/W2884530474","https://openalex.org/W2895340898","https://openalex.org/W2963868681","https://openalex.org/W2965638232","https://openalex.org/W2986056979","https://openalex.org/W2997217064","https://openalex.org/W2998449272","https://openalex.org/W3019227092","https://openalex.org/W3035284915","https://openalex.org/W3096609285","https://openalex.org/W3097848036","https://openalex.org/W3109908659","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3152765238","https://openalex.org/W3160694286","https://openalex.org/W3168833178","https://openalex.org/W3170841864","https://openalex.org/W3207668590","https://openalex.org/W3212723100","https://openalex.org/W4213019189","https://openalex.org/W4214493665","https://openalex.org/W4214542306","https://openalex.org/W6739901393","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W2081900870","https://openalex.org/W3174028392","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W2000517284","https://openalex.org/W2365318811","https://openalex.org/W2136503713","https://openalex.org/W2375330620","https://openalex.org/W2363755581"],"abstract_inverted_index":{"Video":[0],"salient":[1],"object":[2],"detection":[3],"(VSOD)":[4],"aims":[5],"at":[6],"locating":[7],"the":[8,98,102,109,148],"most":[9],"attractive":[10],"objects":[11],"presented":[12],"in":[13],"video":[14],"sequences":[15],"by":[16],"exploiting":[17],"spatial":[18],"and":[19,36,49,129],"temporal":[20],"cues.":[21],"Previous":[22],"methods":[23],"mainly":[24],"utilize":[25],"convolutional":[26],"neural":[27],"networks":[28],"(CNNs)":[29],"to":[30,124,136],"fuse":[31],"or":[32],"complement":[33],"across":[34],"RGB":[35],"optical":[37],"flow":[38],"cues":[39],"via":[40],"simple":[41],"strategies.":[42],"To":[43,101],"take":[44],"full":[45],"advantage":[46],"of":[47,97,104,151],"CNNs":[48,119],"recently":[50],"emerged":[51],"Transformers,":[52],"this":[53],"letter":[54],"proposes":[55],"a":[56,64,77,82,131],"novel":[57],"mutual-guidance":[58,65,84],"Transformer-embedding":[59],"network,":[60],"called":[61],"MGT-Net,":[62],"where":[63],"multi-head":[66],"attention":[67],"mechanism":[68,78],"(MGMA)":[69],"explores":[70],"more":[71],"sophisticated":[72],"long-range":[73,91],"cross-modal":[74],"interactions.":[75],"Such":[76],"is":[79,108],"designed":[80],"into":[81,118],"new":[83],"Transformer":[85],"(MGTrans)":[86],"module":[87,134],"that":[88,113],"can":[89],"propagate":[90],"contextual":[92],"dependencies":[93],"based":[94],"on":[95,143],"information":[96],"other":[99],"modality.":[100],"best":[103],"our":[105],"knowledge,":[106],"MGT-Net":[107],"first":[110],"VSOD":[111],"model":[112],"embeds":[114],"Transformers":[115],"as":[116],"modules":[117],"for":[120],"improved":[121],"performance.":[122],"Prior":[123],"MGTrans,":[125],"we":[126],"also":[127],"propose":[128],"deploy":[130],"feature":[132],"purification":[133],"(FPM)":[135],"purify":[137],"noisy":[138],"backbone":[139],"features.":[140],"Experimental":[141],"results":[142],"five":[144],"benchmark":[145],"datasets":[146],"demonstrate":[147],"state-of-the-art":[149],"performance":[150],"MGT-Net.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
