{"id":"https://openalex.org/W2922359636","doi":"https://doi.org/10.1117/12.2523113","title":"Pixel-wise binary classification network for salient object detection","display_name":"Pixel-wise binary classification network for salient object detection","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2922359636","doi":"https://doi.org/10.1117/12.2523113","mag":"2922359636"},"language":"en","primary_location":{"id":"doi:10.1117/12.2523113","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","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":"https://openalex.org/A5101050701","display_name":"Chuang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuang Wu","raw_affiliation_strings":["Xi\u2019an Jiaotong Univ. (China)","Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777340","display_name":"Lihua Tian","orcid":"https://orcid.org/0000-0002-7206-4332"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Tian","raw_affiliation_strings":["Xi\u2019an Jiaotong Univ. (China)","Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369916","display_name":"Chen Li","orcid":"https://orcid.org/0000-0003-1545-8885"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Xi\u2019an Jiaotong Univ. (China)","Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101050701"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01705507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"91"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9771999716758728,"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":0.9563999772071838,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7834634184837341},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7587809562683105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7191084623336792},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.6974324584007263},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6958931684494019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6477190256118774},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6087666749954224},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5854303240776062},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5769249200820923},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5572209358215332},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5540303587913513},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.48554226756095886},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48084625601768494},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4780360162258148},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4203990399837494},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.41388773918151855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38310563564300537},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31599175930023193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2585040330886841}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7834634184837341},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7587809562683105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7191084623336792},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.6974324584007263},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6958931684494019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477190256118774},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6087666749954224},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5854303240776062},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5769249200820923},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5572209358215332},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5540303587913513},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.48554226756095886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48084625601768494},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4780360162258148},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4203990399837494},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.41388773918151855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38310563564300537},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31599175930023193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2585040330886841},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2523113","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1894057436","https://openalex.org/W1910657905","https://openalex.org/W2147347517","https://openalex.org/W2163605009","https://openalex.org/W2412782625","https://openalex.org/W2592939477","https://openalex.org/W2963299740","https://openalex.org/W2963840672","https://openalex.org/W3103757879","https://openalex.org/W3177525997","https://openalex.org/W4301045096","https://openalex.org/W6637373629","https://openalex.org/W6639359414","https://openalex.org/W6639780620","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6640610931","https://openalex.org/W6660344663","https://openalex.org/W6672295943","https://openalex.org/W6674914833","https://openalex.org/W6676338569","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6696085341","https://openalex.org/W6697567838","https://openalex.org/W6703577937","https://openalex.org/W6718608071"],"related_works":["https://openalex.org/W4285326772","https://openalex.org/W4376118624","https://openalex.org/W3080832216","https://openalex.org/W4389279194","https://openalex.org/W3170224572","https://openalex.org/W3134502938","https://openalex.org/W2022849497","https://openalex.org/W3043103998","https://openalex.org/W3081299480","https://openalex.org/W2407190427"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"have":[4],"led":[5],"to":[6,60,90,125],"significant":[7],"improvement":[8],"over":[9],"the":[10,62,111,116,127,142],"previous":[11],"salient":[12,25,52],"object":[13,53],"detection":[14],"systems.":[15],"The":[16],"existing":[17],"deep":[18],"models":[19],"are":[20,35],"trained":[21],"end-to-end":[22],"and":[23,56,68,103,110],"predicts":[24],"objects":[26],"by":[27],"calculating":[28],"pixel":[29,49],"values,":[30],"which":[31],"results":[32],"saliency":[33,55],"maps":[34,67,114],"typically":[36],"blurry.":[37],"Our":[38],"Pixel-wise":[39],"Binary":[40],"Classification":[41],"Network":[42],"(PBCN)":[43],"focuses":[44],"on":[45,134],"binary":[46,128],"classification":[47,129],"in":[48],"level":[50],"for":[51],"detection:":[54],"background.":[57],"In":[58,96],"order":[59],"increase":[61],"resolution":[63],"of":[64,115,131],"output":[65,112],"feature":[66,71,113],"get":[69],"denser":[70,92],"maps,":[72],"Hybrid":[73,82],"dilation":[74],"convolution":[75,102],"(HDC)":[76],"is":[77,88,123],"employed":[78],"into":[79],"PBCN.":[80],"Then,":[81],"Dilation":[83],"Spatial":[84],"Pyramid":[85],"Pooling":[86],"(HDSPP)":[87],"proposed":[89],"extract":[91],"multi-scale":[93],"image":[94],"representations.":[95],"HDSPP,":[97],"it":[98],"contains":[99],"one":[100],"1×1":[101],"several":[104],"dilated":[105],"convolutions,":[106],"with":[107],"different":[108],"rates":[109],"convolutions":[117],"will":[118],"be":[119],"fused.":[120],"Finally,":[121],"softmax":[122],"introduced":[124],"implement":[126],"instead":[130],"sigmoid.":[132],"Experiment,":[133],"four":[135],"datasets,":[136],"show":[137],"that":[138],"PBCN":[139],"significantly":[140],"improves":[141],"state-of-the-art.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}