{"id":"https://openalex.org/W4411142602","doi":"https://doi.org/10.1016/j.inffus.2025.103362","title":"Spatial-aware multi-modal contrastive learning for RGB-D salient object detection and beyond","display_name":"Spatial-aware multi-modal contrastive learning for RGB-D salient object detection and beyond","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4411142602","doi":"https://doi.org/10.1016/j.inffus.2025.103362"},"language":"en","primary_location":{"id":"doi:10.1016/j.inffus.2025.103362","doi":"https://doi.org/10.1016/j.inffus.2025.103362","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.inffus.2025.103362","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-3","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2139/ssrn.4713350","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100353537","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-3138-505X","observed_orcids":["https://orcid.org/0000-0002-3138-505X"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":"https://orcid.org/0000-0002-3138-505X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038380923","display_name":"Zichao Chen","orcid":"https://orcid.org/0000-0002-3266-9177","observed_orcids":["https://orcid.org/0000-0002-3266-9177"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichao Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067616657","display_name":"Yongliang Wu","orcid":"https://orcid.org/0000-0001-7177-3623","observed_orcids":["https://orcid.org/0000-0001-7177-3623"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108313317","display_name":"Hongzhuo Chen","orcid":"https://orcid.org/0009-0004-1635-0192","observed_orcids":["https://orcid.org/0009-0004-1635-0192"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhuo Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100353537"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":1.6555,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83425437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"124","issue":null,"first_page":"103362","last_page":"103362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.6963000297546387,"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":0.6963000297546387,"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":0.1574999988079071,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05530000105500221,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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-d-salient-object-detection","display_name":"RGB-D salient object detection","score":0.8999999761581421},{"id":"https://openalex.org/keywords/multimodal-contrastive-learning","display_name":"multimodal contrastive learning","score":0.8500000238418579},{"id":"https://openalex.org/keywords/self-supervised-pretraining","display_name":"self-supervised pre-training","score":0.902999997138977},{"id":"https://openalex.org/keywords/cross-modal-fusion","display_name":"cross-modal fusion","score":0.8899999856948853},{"id":"https://openalex.org/keywords/domain-gap","display_name":"domain gap","score":0.7850000262260437},{"id":"https://openalex.org/keywords/modality-gap","display_name":"modality gap","score":0.8880000114440918},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.7670000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811844348907471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6634119749069214},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.615632951259613},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6136392951011658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6112799644470215},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5039538741111755},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49808740615844727},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4615052044391632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4005895256996155},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.inffus.2025.103362","doi":"https://doi.org/10.1016/j.inffus.2025.103362","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.inffus.2025.103362","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-3","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.4713350","doi":"https://doi.org/10.2139/ssrn.4713350","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.4713350","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.2139/ssrn.4713350","doi":"https://doi.org/10.2139/ssrn.4713350","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.4713350","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1003364742","display_name":null,"funder_award_id":"62261160576","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5321528465","display_name":null,"funder_award_id":"62102083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G81991260","display_name":null,"funder_award_id":"BK20210222","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F2608186204","display_name":"Big Data Computing Center, Southeast University","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W753847829","https://openalex.org/W1745334888","https://openalex.org/W1772076007","https://openalex.org/W1903029394","https://openalex.org/W1923184257","https://openalex.org/W1966025376","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W2031489346","https://openalex.org/W2039298799","https://openalex.org/W2100470808","https://openalex.org/W2194775991","https://openalex.org/W2587989515","https://openalex.org/W2609822318","https://openalex.org/W2766315367","https://openalex.org/W2887522866","https://openalex.org/W2909381593","https://openalex.org/W2910281775","https://openalex.org/W2957414648","https://openalex.org/W2963299740","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2968124245","https://openalex.org/W3002301267","https://openalex.org/W3009561768","https://openalex.org/W3010616503","https://openalex.org/W3034320133","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3035633116","https://openalex.org/W3036224891","https://openalex.org/W3097053213","https://openalex.org/W3103215803","https://openalex.org/W3108421143","https://openalex.org/W3108655343","https://openalex.org/W3108822985","https://openalex.org/W3135367836","https://openalex.org/W3145224227","https://openalex.org/W3158901828","https://openalex.org/W3160314846","https://openalex.org/W3168822201","https://openalex.org/W3176463841","https://openalex.org/W3178535157","https://openalex.org/W3195720870","https://openalex.org/W3204197760","https://openalex.org/W3209732904","https://openalex.org/W3212433538","https://openalex.org/W3217020749","https://openalex.org/W4205646066","https://openalex.org/W4206420686","https://openalex.org/W4206873376","https://openalex.org/W4297808394","https://openalex.org/W4304098234","https://openalex.org/W4313000235","https://openalex.org/W4316654064","https://openalex.org/W4362496243","https://openalex.org/W4362586367","https://openalex.org/W4380884766","https://openalex.org/W4384519183","https://openalex.org/W4386997151","https://openalex.org/W4387967911","https://openalex.org/W4391791419","https://openalex.org/W4395449071","https://openalex.org/W4395956914"],"related_works":["https://openalex.org/W4412749935","https://openalex.org/W4408145367","https://openalex.org/W7155769185","https://openalex.org/W3202169777","https://openalex.org/W4206873376","https://openalex.org/W3126152110","https://openalex.org/W3158901828","https://openalex.org/W4391827269","https://openalex.org/W3164802490","https://openalex.org/W7124197830"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2025-10-10T00:00:00"}