{"id":"https://openalex.org/W4400526009","doi":"https://doi.org/10.1109/tgrs.2024.3425658","title":"Iterative Saliency Aggregation and Assignment Network for Efficient Salient Object Detection in Optical Remote Sensing Images","display_name":"Iterative Saliency Aggregation and Assignment Network for Efficient Salient Object Detection in Optical Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400526009","doi":"https://doi.org/10.1109/tgrs.2024.3425658"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3425658","doi":"https://doi.org/10.1109/tgrs.2024.3425658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3425658","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5003702543","display_name":"Zhaojian Yao","orcid":"https://orcid.org/0000-0001-5259-5286","observed_orcids":["https://orcid.org/0000-0001-5259-5286"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojian Yao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5259-5286","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495","observed_orcids":["https://orcid.org/0000-0001-7429-5495"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-5495","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":4.3714,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96090046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976000189781189,"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":0.9976000189781189,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.0010000000474974513,"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":0.000699999975040555,"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/salient-object-detection","display_name":"salient object detection","score":0.996999979019165},{"id":"https://openalex.org/keywords/optical-remote-sensing-images","display_name":"optical remote sensing images","score":0.9829999804496765},{"id":"https://openalex.org/keywords/lightweight-models","display_name":"lightweight models","score":0.7269999980926514},{"id":"https://openalex.org/keywords/bidirectional-communication","display_name":"two-way communication","score":0.6930000185966492},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.652999997138977},{"id":"https://openalex.org/keywords/accuracy-efficiency-trade-off","display_name":"accuracy-efficiency trade-off","score":0.7879999876022339}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7246598601341248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152008414268494},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6615080833435059},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5983564257621765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5614359974861145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5603936314582825},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5548070669174194},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5008854866027832},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4147518575191498},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.4121837615966797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36786797642707825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17266416549682617},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14805427193641663},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14622029662132263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3425658","doi":"https://doi.org/10.1109/tgrs.2024.3425658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3425658","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3026615319","display_name":null,"funder_award_id":"62271013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8212228297","display_name":null,"funder_award_id":"62031013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8531273250","display_name":null,"funder_award_id":"PCL2024A02","funder_id":"https://openalex.org/F4320334984","funder_display_name":"Applied Basic Research Key Project of Yunnan"},{"id":"https://openalex.org/G8756684758","display_name":null,"funder_award_id":"2024A1515010155","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334984","display_name":"Applied Basic Research Key Project of Yunnan","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1686810756","https://openalex.org/W2100470808","https://openalex.org/W2194775991","https://openalex.org/W2570343428","https://openalex.org/W2944779197","https://openalex.org/W2961348656","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2967085153","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3029368604","https://openalex.org/W3035422681","https://openalex.org/W3093360435","https://openalex.org/W3108948422","https://openalex.org/W3109623941","https://openalex.org/W3112885960","https://openalex.org/W3114848016","https://openalex.org/W3121523901","https://openalex.org/W3122006940","https://openalex.org/W3132018008","https://openalex.org/W3136838953","https://openalex.org/W3159645096","https://openalex.org/W3164802490","https://openalex.org/W3173382343","https://openalex.org/W3175515048","https://openalex.org/W3179147540","https://openalex.org/W3188023301","https://openalex.org/W3195586359","https://openalex.org/W3202201260","https://openalex.org/W3217306379","https://openalex.org/W4206947033","https://openalex.org/W4221138999","https://openalex.org/W4223896192","https://openalex.org/W4285242672","https://openalex.org/W4285267224","https://openalex.org/W4312410001","https://openalex.org/W4312610008","https://openalex.org/W4313506322","https://openalex.org/W4313886688","https://openalex.org/W4315606099","https://openalex.org/W4315631877","https://openalex.org/W4319866034","https://openalex.org/W4319879007","https://openalex.org/W4362480394","https://openalex.org/W4378194596","https://openalex.org/W4385444701","https://openalex.org/W4386175343","https://openalex.org/W4386824701","https://openalex.org/W4387046507","https://openalex.org/W4387968376","https://openalex.org/W4388193857","https://openalex.org/W4393906060","https://openalex.org/W4394008640","https://openalex.org/W4402733568"],"related_works":["https://openalex.org/W4401113749","https://openalex.org/W4405737390","https://openalex.org/W4388342091","https://openalex.org/W4403826925","https://openalex.org/W4412786805","https://openalex.org/W7117111915","https://openalex.org/W4413327514","https://openalex.org/W4409917157","https://openalex.org/W6892624964","https://openalex.org/W4408935425"],"abstract_inverted_index":{"Motivated":[0],"by":[1,113,172],"the":[2,27,31,77,93,96,120,125,128,132,136,139,149,155,162,183,192,262,273,281,285],"pursuit":[3],"of":[4,26,79,164,175,195,265,284,296],"efficient":[5],"salient":[6,165],"object":[7],"detection":[8,100,189],"in":[9,39,48],"remote":[10],"sensing,":[11],"researchers":[12],"have":[13,35],"devoted":[14],"considerable":[15],"efforts":[16],"to":[17,22,54,75,98,109,119,127,138,147,185,200,220],"devising":[18],"lightweight":[19,33,287],"models":[20,34,288],"due":[21],"low":[23],"running":[24,294],"efficiency":[25,305],"cumbersome":[28],"models.":[29],"Although":[30],"existing":[32,286],"made":[36],"impressive":[37],"progress":[38],"improving":[40],"efficiency,":[41],"there":[42],"is":[43,107,145,169,198],"often":[44,212],"a":[45,86,103,141,229,292,301],"notable":[46],"sacrifice":[47],"inference":[49],"accuracy,":[50],"making":[51],"it":[52],"challenging":[53],"attain":[55],"both":[56],"high-quality":[57],"output":[58],"and":[59,71,82,95,151,178,204,232,246,260,306],"high":[60],"efficiency.":[61,83],"In":[62],"this":[63,225],"article,":[64],"we":[65,227],"propose":[66],"an":[67],"iterative":[68],"saliency":[69,104,116,142,176],"aggregation":[70,105,177,206],"assignment":[72,143],"network":[73],"(ISAANet)":[74],"reconcile":[76],"dilemma":[78],"balancing":[80],"accuracy":[81,282],"ISAANet":[84,275],"adopts":[85],"recurrent":[87],"architecture":[88],"with":[89],"bidirectional":[90],"communication":[91],"between":[92,304],"encoder":[94,126,156,168],"decoder":[97,137,184],"boost":[99],"performance.":[101],"Specifically,":[102],"mechanism":[106],"used":[108],"generate":[110],"complementary":[111],"information":[112,122,202,254],"integrating":[114],"multilevel":[115],"cues,":[117],"corresponding":[118],"feedforward":[121],"flow":[123],"from":[124,135],"decoder.":[129],"As":[130],"for":[131,157,237,280],"feedback":[133],"flows":[134],"encoder,":[140],"approach":[144],"proposed":[146,274],"inject":[148],"region":[150],"edge":[152],"prompts":[153],"into":[154],"hierarchical":[158,230],"feature":[159,214,238],"updates,":[160],"emphasizing":[161],"representation":[163],"information.":[166],"The":[167,240,268,308],"progressively":[170],"reinforced":[171],"alternating":[173],"iterations":[174],"assignment,":[179],"which":[180,217,256,299],"further":[181],"helps":[182],"produce":[186],"more":[187],"reliable":[188],"results.":[190],"Moreover,":[191],"effective":[193],"fusion":[194,210,244],"cross-level":[196],"features":[197,245],"key":[199],"realizing":[201],"complementarity":[203],"enhancing":[205],"quality.":[207],"However,":[208],"conventional":[209],"schemes":[211],"neglect":[213],"importance":[215],"disparities,":[216],"can":[218],"lead":[219],"noise":[221,258],"accumulation.":[222],"To":[223],"address":[224],"issue,":[226],"introduce":[228],"interaction":[231],"dynamic":[233],"integration":[234],"(HIDI)":[235],"module":[236,242],"fusion.":[239],"HIDI":[241],"groups":[243],"dynamically":[247],"adjusts":[248],"their":[249,253],"weights":[250],"based":[251],"on":[252],"quality,":[255],"suppresses":[257],"interference":[259],"strengthens":[261],"model\u2019s":[263],"learning":[264],"meaningful":[266],"features.":[267],"experimental":[269],"results":[270],"demonstrate":[271],"that":[272],"not":[276],"only":[277],"effectively":[278],"compensates":[279],"deficiency":[283],"but":[289],"also":[290],"achieves":[291],"faster":[293],"speed":[295],"108":[297],"FPS,":[298],"shows":[300],"favorable":[302],"tradeoff":[303],"accuracy.":[307],"code":[309],"will":[310],"be":[311],"available":[312],"athttps://github.com/YiuCK/ISAANetandhttps://openi.pcl.ac.cn/OpenVision/ISAANet.":[313]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":8}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-07-12T00:00:00"}