{"id":"https://openalex.org/W2075682509","doi":"https://doi.org/10.1109/wiamis.2013.6616133","title":"Sample specific late fusion for saliency detection","display_name":"Sample specific late fusion for saliency detection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2075682509","doi":"https://doi.org/10.1109/wiamis.2013.6616133","mag":"2075682509"},"language":"en","primary_location":{"id":"doi:10.1109/wiamis.2013.6616133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2013.6616133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)","raw_type":"proceedings-article"},"type":"article","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":null,"display_name":"Sun Jie","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":true,"raw_author_name":"Sun Jie","raw_affiliation_strings":["Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023442981","display_name":"Congyan Lang","orcid":"https://orcid.org/0000-0001-6059-7943"},"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":"Congyan Lang","raw_affiliation_strings":["Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085406955","display_name":"Songhe Feng","orcid":"https://orcid.org/0000-0002-5922-9358"},"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":"Songhe Feng","raw_affiliation_strings":["Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13816051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"4"},"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":0.9865999817848206,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9853000044822693,"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":0.7151613831520081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7149628400802612},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6182734370231628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5871548056602478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5296789407730103},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5112972259521484},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4995877742767334},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4798687994480133},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44469618797302246},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4227692484855652},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41018420457839966},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3520534038543701},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34831535816192627},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07497411966323853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151613831520081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7149628400802612},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6182734370231628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5871548056602478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5296789407730103},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5112972259521484},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4995877742767334},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4798687994480133},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44469618797302246},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4227692484855652},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41018420457839966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3520534038543701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34831535816192627},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07497411966323853},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiamis.2013.6616133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2013.6616133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1566135517","https://openalex.org/W1981228217","https://openalex.org/W1996031228","https://openalex.org/W2100470808","https://openalex.org/W2108825342","https://openalex.org/W2119228922","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2143492062","https://openalex.org/W2146103513","https://openalex.org/W2149095485","https://openalex.org/W2151900481","https://openalex.org/W2156686129","https://openalex.org/W2157554677","https://openalex.org/W2162216530","https://openalex.org/W2170161511","https://openalex.org/W6680437723","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Typically,":[0],"the":[1,13,30,69,99],"saliency":[2,93],"map":[3],"of":[4,50,90],"an":[5,113],"image":[6,35,106],"is":[7],"usually":[8],"inferred":[9],"by":[10],"only":[11],"using":[12],"information":[14,31,111],"within":[15,32],"this":[16,43],"image.":[17],"While":[18],"efficient,":[19],"such":[20],"single-image-based":[21],"methods":[22],"may":[23,36],"fail":[24],"to":[25],"obtain":[26],"reliable":[27],"results,":[28],"because":[29],"a":[33,47,57,75],"single":[34],"be":[37],"insufficient":[38],"for":[39,79,86],"defining":[40],"saliency.":[41],"In":[42],"paper,":[44],"we":[45,73],"propose":[46,74],"novel":[48],"idea":[49],"learning":[51,77,80],"with":[52],"labeled":[53],"images":[54],"and":[55,108],"adopt":[56],"new":[58],"paradigm":[59],"called":[60],"sample":[61,82],"specific":[62,83],"late":[63],"fusion":[64,84],"(SSLF).":[65],"To":[66],"effectively":[67],"explore":[68],"visual":[70],"neighborhood":[71],"information,":[72],"semi-supervised":[76],"technique":[78],"robust":[81],"parameters":[85],"multiply":[87],"response":[88],"maps":[89],"generic":[91],"bottom-up":[92],"detectors.":[94],"Different":[95],"from":[96],"previous":[97],"methods,":[98],"proposed":[100],"SSLF":[101],"method":[102],"integrates":[103],"both":[104],"middle-level":[105],"representation":[107],"unlabeled":[109],"data":[110],"through":[112],"effective":[114],"graph":[115],"regularization":[116],"framework.":[117],"Extensive":[118],"experiments":[119],"have":[120],"clearly":[121],"validated":[122],"its":[123],"superiority":[124],"over":[125],"other":[126],"state-of-the-art":[127],"methods.":[128]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}