{"id":"https://openalex.org/W4224330024","doi":"https://doi.org/10.1109/tcyb.2022.3169431","title":"Global-and-Local Collaborative Learning for Co-Salient Object Detection","display_name":"Global-and-Local Collaborative Learning for Co-Salient Object Detection","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4224330024","doi":"https://doi.org/10.1109/tcyb.2022.3169431","pmid":"https://pubmed.ncbi.nlm.nih.gov/35867373"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3169431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3169431","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"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","HK"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063425774","display_name":"Ning Yang","orcid":"https://orcid.org/0000-0002-5442-5480"},"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":"Ning Yang","raw_affiliation_strings":["Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"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, 50 Nanyang Avenue, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2609-2460","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, #16-16 Connexis, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-9702-5524","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, #16-16 Connexis, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","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 and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"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 and the Key Laboratory of Big Data Mining and Knowledge Management, 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 and the Key Laboratory of Big Data Mining and Knowledge Management, 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/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","City University of Hong Kong Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.4944,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.98808461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"53","issue":"3","first_page":"1920","last_page":"1931"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9675999879837036,"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":0.6962929964065552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6875931024551392},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6788862347602844},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6249670386314392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5664336085319519},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5475257635116577},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4997372627258301},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.44516628980636597},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4281045198440552},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.426114022731781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33600568771362305},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14633378386497498},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08242273330688477},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0741325318813324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962929964065552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6875931024551392},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6788862347602844},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6249670386314392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5664336085319519},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5475257635116577},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4997372627258301},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.44516628980636597},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4281045198440552},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.426114022731781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33600568771362305},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14633378386497498},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08242273330688477},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0741325318813324},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3169431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3169431","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:35867373","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35867373","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2509567987","display_name":null,"funder_award_id":"XJ2020040","funder_id":"https://openalex.org/F4320323540","funder_display_name":"Society of Hong Kong Scholars"},{"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/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/G8660072778","display_name":null,"funder_award_id":"2021YJS046","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"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/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323540","display_name":"Society of Hong Kong Scholars","ror":"https://ror.org/03gffcv79"},{"id":"https://openalex.org/F4320330912","display_name":"Beijing Association for Science and Technology","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1914179642","https://openalex.org/W1923594904","https://openalex.org/W1964884769","https://openalex.org/W1976391299","https://openalex.org/W1976977741","https://openalex.org/W1992992668","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2128340050","https://openalex.org/W2141303268","https://openalex.org/W2157554677","https://openalex.org/W2162903716","https://openalex.org/W2194775991","https://openalex.org/W2293332611","https://openalex.org/W2337762808","https://openalex.org/W2569272946","https://openalex.org/W2615981376","https://openalex.org/W2733068683","https://openalex.org/W2740667773","https://openalex.org/W2766912043","https://openalex.org/W2767623212","https://openalex.org/W2788154928","https://openalex.org/W2793668851","https://openalex.org/W2808442315","https://openalex.org/W2884585870","https://openalex.org/W2895136135","https://openalex.org/W2897809294","https://openalex.org/W2904945062","https://openalex.org/W2917790938","https://openalex.org/W2943125866","https://openalex.org/W2957702778","https://openalex.org/W2962850830","https://openalex.org/W2963112696","https://openalex.org/W2963420686","https://openalex.org/W2963529609","https://openalex.org/W2963572583","https://openalex.org/W2963834057","https://openalex.org/W2963868681","https://openalex.org/W2967085153","https://openalex.org/W2969377765","https://openalex.org/W2969575296","https://openalex.org/W2972640707","https://openalex.org/W2972705427","https://openalex.org/W2981680738","https://openalex.org/W2990984982","https://openalex.org/W2997316506","https://openalex.org/W2998169688","https://openalex.org/W2998449272","https://openalex.org/W3006465601","https://openalex.org/W3008128973","https://openalex.org/W3011305844","https://openalex.org/W3034499925","https://openalex.org/W3035074791","https://openalex.org/W3035666869","https://openalex.org/W3039991645","https://openalex.org/W3084740725","https://openalex.org/W3096150952","https://openalex.org/W3096289386","https://openalex.org/W3097336090","https://openalex.org/W3099886400","https://openalex.org/W3105291825","https://openalex.org/W3108608656","https://openalex.org/W3108948422","https://openalex.org/W3119277176","https://openalex.org/W3124196789","https://openalex.org/W3127842933","https://openalex.org/W3161316971","https://openalex.org/W3174178235","https://openalex.org/W3188582951","https://openalex.org/W3202242435","https://openalex.org/W3205385460","https://openalex.org/W3206198586","https://openalex.org/W3208937872","https://openalex.org/W3211246039","https://openalex.org/W4223896192","https://openalex.org/W4226537900","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6765935323","https://openalex.org/W6785161788","https://openalex.org/W6785582761","https://openalex.org/W6785816937","https://openalex.org/W6794904954"],"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/W2487162673","https://openalex.org/W2916925572"],"abstract_inverted_index":{"The":[0,183],"goal":[1],"of":[2,137],"co-salient":[3],"object":[4],"detection":[5],"(CoSOD)":[6],"is":[7,32,186],"to":[8,27,62,91,113,127,151,174],"discover":[9],"salient":[10],"objects":[11],"that":[12,195],"commonly":[13],"appear":[14],"in":[15],"a":[16,43,51,57,108,145,200],"query":[17],"group":[18,103],"containing":[19],"two":[20],"or":[21],"more":[22,98,153],"relevant":[23],"images.":[24],"Therefore,":[25],"how":[26],"effectively":[28],"extract":[29,100],"interimage":[30,66,131,135,155],"correspondence":[31,53,59,116,147],"crucial":[33],"for":[34],"the":[35,64,73,101,122,129,134,138,159,180],"CoSOD":[36,191],"task.":[37],"In":[38],"this":[39],"article,":[40],"we":[41,79,106],"propose":[42],"global-and-local":[44,146],"collaborative":[45],"learning":[46],"(GLNet)":[47],"architecture,":[48],"which":[49,96],"includes":[50],"global":[52,74,102],"modeling":[54,60],"(GCM)":[55],"and":[56,75,87,120,140,161,178],"local":[58,76,124,130],"(LCM)":[61],"capture":[63],"comprehensive":[65,154],"corresponding":[67],"relationship":[68],"among":[69],"different":[70,81,84],"images":[71,82,119],"from":[72],"perspectives.":[77],"First,":[78],"treat":[80],"as":[83],"time":[85],"slices":[86],"use":[88],"3-D":[89],"convolution":[90],"integrate":[92],"all":[93],"intrafeatures":[94],"intuitively,":[95],"can":[97],"fully":[99],"semantics.":[104],"Second,":[105],"design":[107],"pairwise":[109,118,125],"correlation":[110],"transformation":[111],"(PCT)":[112],"explore":[114,152],"similarity":[115],"between":[117],"combine":[121],"multiple":[123],"correspondences":[126],"generate":[128],"relationship.":[132],"Third,":[133],"relationships":[136],"GCM":[139],"LCM":[141],"are":[142,164],"integrated":[143,166],"through":[144],"aggregation":[148],"(GLA)":[149],"module":[150,173],"collaboration":[156],"cues.":[157],"Finally,":[158],"intra":[160],"inter":[162],"features":[163,177],"adaptively":[165],"by":[167],"an":[168],"intra-and-inter":[169],"weighting":[170],"fusion":[171],"(AEWF)":[172],"learn":[175],"co-saliency":[176,181],"predict":[179],"map.":[182],"proposed":[184],"GLNet":[185],"evaluated":[187],"on":[188,199,212],"three":[189],"prevailing":[190],"benchmark":[192],"datasets,":[193],"demonstrating":[194],"our":[196],"model":[197],"trained":[198,211],"small":[201],"dataset":[202],"(about":[203,216],"3k":[204],"images)":[205],"still":[206],"outperforms":[207],"11":[208],"state-of-the-art":[209],"competitors":[210],"some":[213],"large":[214],"datasets":[215],"8k-200k":[217],"images).":[218]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":15}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}