{"id":"https://openalex.org/W2565333390","doi":"https://doi.org/10.1109/icip.2016.7533037","title":"Fisher-selective search for object detection","display_name":"Fisher-selective search for object detection","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2565333390","doi":"https://doi.org/10.1109/icip.2016.7533037","mag":"2565333390"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5074264672","display_name":"Ilker Buzcu","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ilker Buzcu","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070112256","display_name":"A. Ayd\u0131n Alatan","orcid":"https://orcid.org/0000-0001-5556-7301"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Aydin Alatan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074264672"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":1.3557,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87509505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"55","issue":null,"first_page":"3633","last_page":"3637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/object-detection","display_name":"Object detection","score":0.7458035945892334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814672350883484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520990133285522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6343210339546204},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6272992491722107},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5934125185012817},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5218766927719116},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44251370429992676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41397935152053833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3202945590019226}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7458035945892334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814672350883484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520990133285522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6343210339546204},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6272992491722107},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5934125185012817},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5218766927719116},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44251370429992676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41397935152053833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3202945590019226},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7533037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/42049","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/42049","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1925596459","https://openalex.org/W1958328135","https://openalex.org/W1970456555","https://openalex.org/W1988790447","https://openalex.org/W1991367009","https://openalex.org/W1999478155","https://openalex.org/W2010181071","https://openalex.org/W2024046085","https://openalex.org/W2037227137","https://openalex.org/W2046382188","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2128715914","https://openalex.org/W2147238549","https://openalex.org/W2161198271","https://openalex.org/W2164598857","https://openalex.org/W2165146474","https://openalex.org/W2166473218","https://openalex.org/W4248437541","https://openalex.org/W6636412649","https://openalex.org/W6684116732","https://openalex.org/W6684336018","https://openalex.org/W6830460197"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W2109115373","https://openalex.org/W2090763504","https://openalex.org/W4375867731","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255"],"abstract_inverted_index":{"An":[0],"enhancement":[1],"to":[2,44,68,116,119],"one":[3],"of":[4,51,70,85,92,112,122],"the":[5,90,93,104,120],"existing":[6],"visual":[7],"object":[8,29],"detection":[9,19,30],"approaches":[10],"is":[11,76,106],"proposed":[12,74],"for":[13,28,109],"generating":[14],"candidate":[15],"windows":[16,27],"that":[17,84,103],"improves":[18],"accuracy":[20],"at":[21],"no":[22,64],"additional":[23,65],"computational":[24],"cost.":[25],"Hypothesis":[26],"are":[31,54],"obtained":[32,40],"based":[33],"on":[34,59,89,95],"Fisher":[35,71],"Vector":[36],"representations":[37,82],"over":[38],"initially":[39],"superpixels.":[41],"In":[42],"order":[43],"obtain":[45],"new":[46],"window":[47],"hypotheses,":[48],"hierarchical":[49],"merging":[50],"superpixel":[52],"regions":[53],"applied,":[55],"depending":[56],"upon":[57],"improvements":[58],"some":[60],"objectiveness":[61],"measures":[62],"with":[63,83],"cost":[66],"due":[67,118],"additivity":[69],"Vectors.":[72],"The":[73],"technique":[75],"further":[77],"improved":[78],"by":[79],"concatenating":[80],"these":[81],"deep":[86,123],"networks.":[87],"Based":[88],"results":[91],"simulations":[94],"typical":[96],"data":[97],"sets,":[98],"it":[99],"can":[100],"be":[101],"argued":[102],"approach":[105],"quite":[107],"promising":[108],"its":[110],"use":[111],"handcrafted":[113],"features":[114],"left":[115],"dust":[117],"rise":[121],"learning.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}