{"id":"https://openalex.org/W4409581147","doi":"https://doi.org/10.1109/tip.2025.3560488","title":"Lightweight RGB-D Salient Object Detection From a Speed-Accuracy Tradeoff Perspective","display_name":"Lightweight RGB-D Salient Object Detection From a Speed-Accuracy Tradeoff Perspective","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409581147","doi":"https://doi.org/10.1109/tip.2025.3560488","pmid":"https://pubmed.ncbi.nlm.nih.gov/40249695"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3560488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3560488","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067515645","display_name":"Songsong Duan","orcid":"https://orcid.org/0000-0003-2983-4044"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songsong Duan","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011324535","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-5791-3674"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067515645"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":6.544,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96555183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"2529","last_page":"2543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9581999778747559,"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-vision","display_name":"Computer vision","score":0.7024762630462646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685114324092865},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6814796328544617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6441311240196228},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6054097414016724},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4930705726146698},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4709031581878662},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4357770085334778},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4338006377220154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3884938657283783},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21722412109375}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7024762630462646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685114324092865},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6814796328544617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6441311240196228},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6054097414016724},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4930705726146698},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4709031581878662},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4357770085334778},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4338006377220154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3884938657283783},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21722412109375}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3560488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3560488","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40249695","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40249695","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2452297484","display_name":null,"funder_award_id":"QTZX23042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3157944048","display_name":null,"funder_award_id":"2024GXZDCYL-02-10","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G5453829200","display_name":null,"funder_award_id":"62372348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1966025376","https://openalex.org/W1993713494","https://openalex.org/W1994922096","https://openalex.org/W2100470808","https://openalex.org/W2371838123","https://openalex.org/W2412782625","https://openalex.org/W2752782242","https://openalex.org/W2799213142","https://openalex.org/W2939217524","https://openalex.org/W2957414648","https://openalex.org/W2962850830","https://openalex.org/W2963091558","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2981609437","https://openalex.org/W2990201021","https://openalex.org/W3008128973","https://openalex.org/W3010616503","https://openalex.org/W3022015146","https://openalex.org/W3035357085","https://openalex.org/W3103092912","https://openalex.org/W3114848016","https://openalex.org/W3121523901","https://openalex.org/W3138516171","https://openalex.org/W3152765238","https://openalex.org/W3159018159","https://openalex.org/W3169761117","https://openalex.org/W3173882198","https://openalex.org/W3185043317","https://openalex.org/W3207668590","https://openalex.org/W3207804100","https://openalex.org/W3212645988","https://openalex.org/W4283707199","https://openalex.org/W4285242672","https://openalex.org/W4289752563","https://openalex.org/W4295424676","https://openalex.org/W4299652825","https://openalex.org/W4309721374","https://openalex.org/W4311972917","https://openalex.org/W4312443924","https://openalex.org/W4312612915","https://openalex.org/W4315606099","https://openalex.org/W4319879007","https://openalex.org/W4362496243","https://openalex.org/W4366310720","https://openalex.org/W4376467320","https://openalex.org/W4383890466","https://openalex.org/W4384284030","https://openalex.org/W4384788026","https://openalex.org/W4385245566","https://openalex.org/W4385486371","https://openalex.org/W4386581228","https://openalex.org/W4387789807","https://openalex.org/W4387968414","https://openalex.org/W4387969113","https://openalex.org/W4387969358","https://openalex.org/W4388283736","https://openalex.org/W4388979137","https://openalex.org/W4391791419","https://openalex.org/W4391827269","https://openalex.org/W4392188075","https://openalex.org/W4392902713","https://openalex.org/W4400944752","https://openalex.org/W4402727359","https://openalex.org/W4403022230","https://openalex.org/W4404562813","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Current":[0],"RGB-D":[1,39,184],"methods":[2,17],"usually":[3],"leverage":[4],"large-scale":[5],"backbones":[6],"to":[7,20,61,85,103,126,144,153,173],"improve":[8],"accuracy":[9],"but":[10],"sacrifice":[11],"efficiency.":[12],"Meanwhile,":[13],"several":[14],"existing":[15],"lightweight":[16,135,201],"are":[18,97],"difficult":[19],"achieve":[21],"high-precision":[22],"performance.":[23],"To":[24],"balance":[25],"the":[26,57,68,72,87,94,128,134,171,189],"efficiency":[27],"and":[28,49,90,141,148,176,198,207],"performance,":[29],"we":[30,55,78,113,162],"propose":[31,79],"a":[32,80,115,122,158,164,200],"Speed-Accuracy":[33],"Tradeoff":[34],"Network":[35],"(SATNet)":[36],"for":[37],"Lightweight":[38],"SOD":[40,185],"from":[41],"three":[42],"fundamental":[43],"perspectives:":[44],"depth":[45,53,64],"quality,":[46,54],"modality":[47,76],"fusion,":[48,77],"feature":[50,101,108,111,130,146],"representation.":[51],"Concerning":[52],"introduce":[56],"Depth":[58],"Anything":[59],"Model":[60],"generate":[62],"high-quality":[63],"maps,which":[65],"effectively":[66],"alleviates":[67],"multi-modal":[69,95],"gaps":[70],"in":[71,170],"current":[73],"datasets.":[74],"For":[75,110],"Decoupled":[81],"Attention":[82],"Module":[83,119,168],"(DAM)":[84],"explore":[86],"consistency":[88],"within":[89],"between":[91],"modalities.":[92],"Here,":[93],"features":[96,140,143],"decoupled":[98],"into":[99],"dual-view":[100],"vectors":[102],"project":[104],"discriminable":[105],"information":[106],"of":[107],"maps.":[109],"representation,":[112],"develop":[114],"Dual":[116,165],"Information":[117],"Representation":[118],"(DIRM)":[120],"with":[121,203],"bi-directional":[123,159],"inverted":[124],"framework":[125,202],"enlarge":[127],"limited":[129],"space":[131],"generated":[132],"by":[133],"backbones.":[136],"DIRM":[137],"models":[138,197],"texture":[139,175],"saliency":[142,177],"enrich":[145],"space,":[147],"employ":[149],"two-way":[150],"prediction":[151],"heads":[152],"optimal":[154],"its":[155],"parameters":[156,206],"through":[157],"backpropagation.":[160],"Finally,":[161],"design":[163],"Feature":[166],"Aggregation":[167],"(DFAM)":[169],"decoder":[172],"aggregate":[174],"features.":[178],"Extensive":[179],"experiments":[180],"on":[181],"five":[182],"public":[183],"datasets":[186],"indicate":[187],"that":[188],"proposed":[190],"SATNet":[191],"excels":[192],"state-of-the-art":[193],"(SOTA)":[194],"CNN-based":[195],"heavyweight":[196],"achieves":[199],"5.2":[204],"M":[205],"415":[208],"FPS.":[209],"The":[210],"code":[211],"is":[212],"available":[213],"at":[214],"https://github.com/duan-song/SATNet.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
