{"id":"https://openalex.org/W4205388179","doi":"https://doi.org/10.1145/3478586.3478592","title":"Convexity and Contrast Guided Gate Mechanism for Salient Object Detection","display_name":"Convexity and Contrast Guided Gate Mechanism for Salient Object Detection","publication_year":2021,"publication_date":"2021-06-30","ids":{"openalex":"https://openalex.org/W4205388179","doi":"https://doi.org/10.1145/3478586.3478592"},"language":"en","primary_location":{"id":"doi:10.1145/3478586.3478592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478586.3478592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Robotics - 5th International Conference of The Robotics Society","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/A5058076388","display_name":"Dibyendu Das","orcid":"https://orcid.org/0000-0002-3328-7883"},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dibyendu Kumar Das","raw_affiliation_strings":["Academy of Scientific and Innovative Research, India"],"affiliations":[{"raw_affiliation_string":"Academy of Scientific and Innovative Research, India","institution_ids":["https://openalex.org/I99364266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019900558","display_name":"Sahadeb Shit","orcid":"https://orcid.org/0000-0002-9375-0358"},"institutions":[{"id":"https://openalex.org/I70735523","display_name":"Central Mechanical Engineering Research Institute","ror":"https://ror.org/059h0ng81","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210134808","https://openalex.org/I66760702","https://openalex.org/I70735523"]},{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sahadeb Shit","raw_affiliation_strings":["AcSIR and CSIR-CMERI, India"],"affiliations":[{"raw_affiliation_string":"AcSIR and CSIR-CMERI, India","institution_ids":["https://openalex.org/I70735523","https://openalex.org/I99364266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104022224","display_name":"Dip Narayan Ray","orcid":"https://orcid.org/0009-0002-2308-7850"},"institutions":[{"id":"https://openalex.org/I70735523","display_name":"Central Mechanical Engineering Research Institute","ror":"https://ror.org/059h0ng81","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210134808","https://openalex.org/I66760702","https://openalex.org/I70735523"]},{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dip Narayan Ray","raw_affiliation_strings":["AcSIR and CSIR-CMERI, India"],"affiliations":[{"raw_affiliation_string":"AcSIR and CSIR-CMERI, India","institution_ids":["https://openalex.org/I70735523","https://openalex.org/I99364266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102184245","display_name":"Somajyoti Majumder","orcid":null},"institutions":[{"id":"https://openalex.org/I66760702","display_name":"Council of Scientific and Industrial Research","ror":"https://ror.org/021wm7p51","country_code":"IN","type":"government","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210134808","https://openalex.org/I66760702"]},{"id":"https://openalex.org/I70735523","display_name":"Central Mechanical Engineering Research Institute","ror":"https://ror.org/059h0ng81","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210134808","https://openalex.org/I66760702","https://openalex.org/I70735523"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Somajyoti Majumder","raw_affiliation_strings":["CSIR-CMERI, India"],"affiliations":[{"raw_affiliation_string":"CSIR-CMERI, India","institution_ids":["https://openalex.org/I66760702","https://openalex.org/I70735523"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058076388"],"corresponding_institution_ids":["https://openalex.org/I99364266"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42769608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9914000034332275,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7606605291366577},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.735417366027832},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.7226049900054932},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.7216594815254211},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7044066190719604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831266283988953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6226914525032043},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5081946849822998},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4799630641937256},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4665071368217468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42944106459617615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3867987394332886},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1106688380241394},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.08737975358963013}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7606605291366577},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.735417366027832},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.7226049900054932},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.7216594815254211},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7044066190719604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831266283988953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6226914525032043},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5081946849822998},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4799630641937256},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4665071368217468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42944106459617615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3867987394332886},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1106688380241394},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.08737975358963013},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3478586.3478592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478586.3478592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Robotics - 5th International Conference of The Robotics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2060565253","https://openalex.org/W2064365034","https://openalex.org/W2093933638","https://openalex.org/W2097878628","https://openalex.org/W2100470808","https://openalex.org/W2118246710","https://openalex.org/W2128272608","https://openalex.org/W2131297486","https://openalex.org/W2139047169","https://openalex.org/W2144764737","https://openalex.org/W2162216530","https://openalex.org/W2408567721","https://openalex.org/W2510771405","https://openalex.org/W2530053776","https://openalex.org/W2566905098","https://openalex.org/W2625706041","https://openalex.org/W2744876417","https://openalex.org/W2806182543","https://openalex.org/W2894958193","https://openalex.org/W2948500402","https://openalex.org/W2963753350","https://openalex.org/W4249142012","https://openalex.org/W4256003687","https://openalex.org/W6660241312"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W3039810647","https://openalex.org/W4327521413","https://openalex.org/W823300309","https://openalex.org/W2385281989","https://openalex.org/W2752358874","https://openalex.org/W2766800049","https://openalex.org/W2501344691","https://openalex.org/W2508759649","https://openalex.org/W4384565558"],"abstract_inverted_index":{"Visual":[0,29],"attention":[1],"has":[2,127],"a":[3,13,77],"primary":[4],"role":[5,79],"in":[6],"salient":[7,21],"object":[8,61,75,114],"detection.":[9],"This":[10,87],"paper":[11],"presents":[12],"visual":[14,48],"saliency":[15,105,123],"detection":[16],"method":[17,38,89,144],"that":[18,141],"extracts":[19],"the":[20,36,40,43,52,57,63,82,93,97,108,121,142,147],"region":[22],"from":[23,84,96],"an":[24,60,74,103],"image":[25],"based":[26],"on":[27],"Human":[28],"Attention":[30],"System.":[31],"The":[32,71],"core":[33],"idea":[34],"of":[35,42,54,59,73,107],"proposed":[37,88,143],"contemplates":[39],"laws":[41],"Gestalt":[44,55],"principle":[45],"for":[46],"object-based":[47],"attention.":[49,70],"According":[50],"to":[51,67,80,91,119],"law":[53],"psychology,":[56],"convexity":[58,72],"is":[62,145],"most":[64],"important":[65],"cue":[66],"attract":[68],"human":[69],"plays":[76],"vital":[78],"segregate":[81],"figureure":[83],"its":[85],"background.":[86],"aims":[90],"unify":[92],"contrast":[94],"information":[95],"various":[98],"colour":[99],"channels":[100],"and":[101,136],"generate":[102],"intermediate":[104],"map":[106],"desired":[109],"object.":[110],"Then":[111],"Convex":[112],"Hull-based":[113],"priors":[115],"have":[116],"been":[117,128],"evaluated":[118],"estimate":[120],"final":[122],"map.":[124],"Our":[125],"approach":[126],"validated":[129],"using":[130],"publicly":[131],"available":[132],"datasets,":[133],"i.e.":[134],"ECSSD":[135],"MSRA.":[137],"Experimental":[138],"results":[139],"show":[140],"outperforming":[146],"existing":[148],"state-of-art":[149],"method.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}