{"id":"https://openalex.org/W2754500569","doi":"https://doi.org/10.1109/icip.2017.8296366","title":"Object localization by optimizing convolutional neural network detection score using generic edge features","display_name":"Object localization by optimizing convolutional neural network detection score using generic edge features","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754500569","doi":"https://doi.org/10.1109/icip.2017.8296366","mag":"2754500569"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5046856811","display_name":"Elham Etemad","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Elham Etemad","raw_affiliation_strings":["Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111885106","display_name":"Qigang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qigang Gao","raw_affiliation_strings":["Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.47456726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8361801505088806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.809978723526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7813632488250732},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7588351964950562},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6721799969673157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.632896363735199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5739797353744507},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.569577693939209},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5672363042831421},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5509468913078308},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5484026074409485},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5302702188491821},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49434757232666016},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4178743064403534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3780502378940582},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2127620279788971}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8361801505088806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.809978723526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813632488250732},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7588351964950562},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6721799969673157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.632896363735199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5739797353744507},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.569577693939209},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5672363042831421},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5509468913078308},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5484026074409485},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5302702188491821},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49434757232666016},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4178743064403534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3780502378940582},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2127620279788971},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1895817907","https://openalex.org/W1922839076","https://openalex.org/W1934621328","https://openalex.org/W1958879265","https://openalex.org/W1960289438","https://openalex.org/W2059501997","https://openalex.org/W2067381981","https://openalex.org/W2080431663","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2120369594","https://openalex.org/W2120419212","https://openalex.org/W2122410182","https://openalex.org/W2122920515","https://openalex.org/W2123099218","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2186094539","https://openalex.org/W2613718673","https://openalex.org/W2953106684","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6639562590","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2971179492","https://openalex.org/W3160205797","https://openalex.org/W4387272257","https://openalex.org/W2538184184","https://openalex.org/W2046953865","https://openalex.org/W4362565474","https://openalex.org/W2131115545","https://openalex.org/W3006949615","https://openalex.org/W2727211572","https://openalex.org/W2345202531"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3],"propose":[4],"an":[5],"object":[6,15,97,110],"localization":[7,111],"method":[8,19,91,121],"to":[9,28,60,66],"boost":[10],"the":[11,21,30,33,41,47,61,68,73,77,82,95,119],"performance":[12],"of":[13,32,40,51,70,94],"current":[14],"recognition":[16,98],"techniques.":[17],"This":[18],"utilizes":[20],"image":[22,42],"edge":[23,55],"information":[24],"as":[25],"a":[26],"clue":[27],"determine":[29],"location":[31,69],"objects.":[34],"The":[35,100],"Generic":[36],"Edge":[37],"Tokens":[38],"(GETs)":[39],"are":[43,57],"extracted":[44],"based":[45],"on":[46,92,102],"perceptual":[48],"organization":[49],"elements":[50],"human":[52],"vision.":[53],"These":[54],"tokens":[56],"parsed":[58],"according":[59],"Best":[62],"First":[63],"Search":[64],"algorithm":[65],"fine-tune":[67],"objects,":[71],"where":[72,118],"objective":[74],"function":[75],"is":[76],"detection":[78],"score":[79],"returned":[80],"by":[81],"Deep":[83],"Convolutional":[84],"Neural":[85],"Network.":[86],"We":[87,113],"have":[88],"evaluated":[89],"our":[90],"top":[93],"RCNN":[96],"method.":[99],"results":[101],"Pascal":[103],"VOC":[104],"2007":[105],"and":[106],"2012":[107],"show":[108],"improved":[109],"performance.":[112],"also":[114],"present":[115],"several":[116],"cases":[117],"proposed":[120],"works":[122],"significantly":[123],"more":[124],"precisely":[125],"than":[126],"RCNN.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
