{"id":"https://openalex.org/W2792368288","doi":"https://doi.org/10.1109/vcip.2017.8305124","title":"Object localization in weakly labeled data using regularized attention networks","display_name":"Object localization in weakly labeled data using regularized attention networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792368288","doi":"https://doi.org/10.1109/vcip.2017.8305124","mag":"2792368288"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5109432033","display_name":"Eu Wern Teh","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Eu Wern Teh","raw_affiliation_strings":["Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108666434","display_name":"Zhenyu Guo","orcid":"https://orcid.org/0000-0003-2034-4890"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyu Guo","raw_affiliation_strings":["Sengled, Canada"],"affiliations":[{"raw_affiliation_string":"Sengled, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101398880","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0001-9447-1791"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109432033"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60137005,"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":"4"},"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":0.9983999729156494,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976999759674072,"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/object","display_name":"Object (grammar)","score":0.7524988651275635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6756912469863892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679519414901733},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6523491144180298},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6466312408447266},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6388854384422302},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5146763920783997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4879429042339325},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4876352846622467},{"id":"https://openalex.org/keywords/object-model","display_name":"Object model","score":0.48209527134895325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4318609833717346}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7524988651275635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6756912469863892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679519414901733},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6523491144180298},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6466312408447266},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6388854384422302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5146763920783997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4879429042339325},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4876352846622467},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.48209527134895325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4318609833717346},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W95926497","https://openalex.org/W318792885","https://openalex.org/W1514535095","https://openalex.org/W1945443124","https://openalex.org/W1966601141","https://openalex.org/W1973054923","https://openalex.org/W2105297725","https://openalex.org/W2106841609","https://openalex.org/W2113708607","https://openalex.org/W2124351162","https://openalex.org/W2155893237","https://openalex.org/W2186827065","https://openalex.org/W2298532145","https://openalex.org/W2613833277","https://openalex.org/W2950094539","https://openalex.org/W2950178297","https://openalex.org/W2963603913","https://openalex.org/W2963750390","https://openalex.org/W2964308564","https://openalex.org/W4294557331","https://openalex.org/W4297734170","https://openalex.org/W4297789608","https://openalex.org/W6600313631","https://openalex.org/W6630875275","https://openalex.org/W6641730434","https://openalex.org/W6675803743","https://openalex.org/W6679434410","https://openalex.org/W6684983439","https://openalex.org/W6686576746"],"related_works":["https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W4299904075","https://openalex.org/W4387272257","https://openalex.org/W2040220294","https://openalex.org/W196505194","https://openalex.org/W1830968567","https://openalex.org/W2026565050","https://openalex.org/W2191130262","https://openalex.org/W1563300717"],"abstract_inverted_index":{"We":[0,64,87],"consider":[1],"the":[2,26,33,37,40,57,70,81,89,100,108,120,129],"problem":[3],"of":[4,12,28,36,45,59,103,111,119,122],"weakly":[5,19,46],"supervised":[6,115],"object":[7,11,38,58,104,116],"localization.":[8],"For":[9],"an":[10,16,50],"interest":[13,60],"(e.g.":[14],"\u201ccar\u201d),":[15],"image":[17],"is":[18,54],"labeled":[20,47],"when":[21],"its":[22],"label":[23],"only":[24],"indicates":[25],"presence/absence":[27],"this":[29,75],"object,":[30,51],"but":[31],"not":[32],"exact":[34],"location":[35],"in":[39,61,85],"image.":[41,63],"Given":[42],"a":[43,66,95,112],"collection":[44],"images":[48],"for":[49,74],"our":[52,123,125],"goal":[53],"to":[55,106],"localize":[56],"each":[62],"propose":[65],"novel":[67],"architecture":[68,127],"called":[69],"regularized":[71],"attention":[72,82,91,101],"network":[73,83,92],"problem.":[76],"Our":[77],"work":[78],"builds":[79],"upon":[80],"proposed":[84,126],"[1].":[86],"extend":[88],"standard":[90],"by":[93],"incorporating":[94],"regularization":[96],"term":[97],"that":[98],"encourages":[99],"scores":[102],"proposals":[105],"mimic":[107],"scoring":[109],"distribution":[110],"strong":[113],"fully":[114],"detector.":[117],"Despite":[118],"simplicity":[121],"approach,":[124],"achieves":[128],"state-of-the-art":[130],"results":[131],"on":[132],"several":[133],"benchmark":[134],"datasets.":[135]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}