{"id":"https://openalex.org/W4307771365","doi":"https://doi.org/10.1109/tip.2022.3216198","title":"CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection","display_name":"CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4307771365","doi":"https://doi.org/10.1109/tip.2022.3216198","pmid":"https://pubmed.ncbi.nlm.nih.gov/36288228"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3216198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216198","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/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040427384","display_name":"Qinwei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinwei Lin","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374170","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0003-2068-7279"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034122071","display_name":"Chongyi Li","orcid":"https://orcid.org/0000-0003-2609-2460"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2609-2460","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7141-708X","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7542-296X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.6565,"has_fulltext":false,"cited_by_count":208,"citation_normalized_percentile":{"value":0.99555623,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"6800","last_page":"6815"},"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/T11094","display_name":"Face Recognition and Perception","score":0.9807000160217285,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.95660001039505,"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/rgb-color-model","display_name":"RGB color model","score":0.7647918462753296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744438111782074},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6830987334251404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705800294876099},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6236228942871094},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5629913210868835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47690367698669434},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4706306457519531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4667850732803345},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4547010660171509},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4467568099498749},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4310171604156494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21030265092849731}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7647918462753296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744438111782074},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6830987334251404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705800294876099},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6236228942871094},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5629913210868835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47690367698669434},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4706306457519531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4667850732803345},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4547010660171509},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4467568099498749},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4310171604156494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21030265092849731},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3216198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216198","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:36288228","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36288228","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/G4608080322","display_name":null,"funder_award_id":"62002014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5432095370","display_name":null,"funder_award_id":"Z201100006820016","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G5655896502","display_name":null,"funder_award_id":"62120106009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6272256563","display_name":null,"funder_award_id":"2021ZD0112100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6980207033","display_name":null,"funder_award_id":"2022JBMC002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7536822468","display_name":null,"funder_award_id":"U1936212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7801426869","display_name":"\u7aef\u4e91\u534f\u540c\u89c6\u9891\u667a\u80fd\u8ba1\u7b97\u65b9\u6cd5\u4e0e\u82af\u7247\u67b6\u6784\u7814\u7a76","funder_award_id":"61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8603200482","display_name":null,"funder_award_id":"2020QNRC001","funder_id":"https://openalex.org/F4320311778","funder_display_name":"China Association for Science and Technology"},{"id":"https://openalex.org/G8682376634","display_name":null,"funder_award_id":"4222013","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320311778","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W933200379","https://openalex.org/W1565402342","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W2108598243","https://openalex.org/W2160613239","https://openalex.org/W2161236525","https://openalex.org/W2194775991","https://openalex.org/W2337762808","https://openalex.org/W2371838123","https://openalex.org/W2461758788","https://openalex.org/W2520640394","https://openalex.org/W2550553598","https://openalex.org/W2569272946","https://openalex.org/W2585592883","https://openalex.org/W2620958690","https://openalex.org/W2752782242","https://openalex.org/W2765934933","https://openalex.org/W2766912043","https://openalex.org/W2767623212","https://openalex.org/W2767775878","https://openalex.org/W2793668851","https://openalex.org/W2798857366","https://openalex.org/W2887522866","https://openalex.org/W2904488225","https://openalex.org/W2909381593","https://openalex.org/W2938260698","https://openalex.org/W2939217524","https://openalex.org/W2948300571","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2963091558","https://openalex.org/W2963572583","https://openalex.org/W2963706010","https://openalex.org/W2963868681","https://openalex.org/W2969377765","https://openalex.org/W2979794168","https://openalex.org/W2990984982","https://openalex.org/W2997316506","https://openalex.org/W2997355859","https://openalex.org/W3002301267","https://openalex.org/W3003376220","https://openalex.org/W3006465601","https://openalex.org/W3010616503","https://openalex.org/W3011305844","https://openalex.org/W3021142045","https://openalex.org/W3022015146","https://openalex.org/W3034320133","https://openalex.org/W3035284915","https://openalex.org/W3035357085","https://openalex.org/W3035499612","https://openalex.org/W3035633116","https://openalex.org/W3035687312","https://openalex.org/W3048216881","https://openalex.org/W3092729213","https://openalex.org/W3095980151","https://openalex.org/W3097336090","https://openalex.org/W3098389804","https://openalex.org/W3105291825","https://openalex.org/W3106587394","https://openalex.org/W3108421143","https://openalex.org/W3108608656","https://openalex.org/W3108812909","https://openalex.org/W3114152269","https://openalex.org/W3115654959","https://openalex.org/W3118710621","https://openalex.org/W3120113457","https://openalex.org/W3122111862","https://openalex.org/W3123059750","https://openalex.org/W3135874576","https://openalex.org/W3152765238","https://openalex.org/W3154314696","https://openalex.org/W3158397448","https://openalex.org/W3175047721","https://openalex.org/W3203040502","https://openalex.org/W3206198586","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Focusing":[0],"on":[1,31,153],"the":[2,32,39,58,71,78,90,94,104,107,111,138,144,148,164,180],"issue":[3],"of":[4,182],"how":[5],"to":[6,51],"effectively":[7],"capture":[8],"and":[9,36,61,73,106,114,129,170,174],"utilize":[10],"cross-modality":[11,34,40,95,131],"information":[12],"in":[13,57,89,109,147],"RGB-D":[14,54,80,115,156],"salient":[15],"object":[16],"detection":[17],"(SOD)":[18],"task,":[19],"we":[20,97,142],"present":[21],"a":[22,43,63,99,124,130],"convolutional":[23],"neural":[24],"network":[25,162],"(CNN)":[26],"model,":[27],"named":[28],"CIR-Net,":[29],"based":[30],"novel":[33],"interaction":[35],"refinement.":[37],"For":[38,93],"interaction,":[41],"1)":[42],"progressive":[44],"attention":[45,126],"guided":[46],"integration":[47],"unit":[48,88,128],"is":[49,67],"proposed":[50],"sufficiently":[52],"integrate":[53],"feature":[55],"representations":[56],"encoder":[59,105,116],"stage,":[60],"2)":[62],"convergence":[64],"aggregation":[65],"structure":[66,102],"proposed,":[68],"which":[69,110],"flows":[70],"RGB":[72],"depth":[74],"decoding":[75,81],"features":[76,117],"into":[77],"corresponding":[79],"streams":[82],"via":[83],"an":[84],"importance":[85],"gated":[86],"fusion":[87],"decoder":[91,149],"stage.":[92,150],"refinement,":[96],"insert":[98],"refinement":[100,127,133],"middleware":[101],"between":[103],"decoder,":[108],"RGB,":[112],"depth,":[113],"are":[118],"further":[119],"refined":[120,140],"by":[121],"successively":[122],"using":[123],"self-modality":[125],"weighting":[132],"unit.":[134],"At":[135],"last,":[136],"with":[137],"gradually":[139],"features,":[141],"predict":[143],"saliency":[145,166],"map":[146],"Extensive":[151],"experiments":[152],"six":[154],"popular":[155],"SOD":[157],"benchmarks":[158],"demonstrate":[159],"that":[160],"our":[161],"outperforms":[163],"state-of-the-art":[165],"detectors":[167],"both":[168],"qualitatively":[169],"quantitatively.":[171],"The":[172],"code":[173],"results":[175],"can":[176],"be":[177],"found":[178],"from":[179],"link":[181],"https://rmcong.github.io/proj_CIRNet.html.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":27},{"year":2025,"cited_by_count":60},{"year":2024,"cited_by_count":74},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
