{"id":"https://openalex.org/W3194982364","doi":"https://doi.org/10.1109/icip42928.2021.9506087","title":"Hierarchical Region Proposal Refinement Network for Weakly Supervised Object Detection","display_name":"Hierarchical Region Proposal Refinement Network for Weakly Supervised Object Detection","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194982364","doi":"https://doi.org/10.1109/icip42928.2021.9506087","mag":"3194982364"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5101544076","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-9732-4460"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039387461","display_name":"Shuaicheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaicheng Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zeng","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101544076"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71253268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"669","last_page":"673"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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/pascal","display_name":"Pascal (unit)","score":0.8496469259262085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7941686511039734},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6688747406005859},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6427750587463379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639667272567749},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5893838405609131},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5611236691474915},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5481385588645935},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5027532577514648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5017752647399902},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.46615657210350037},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4630349576473236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4175381660461426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3991573452949524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37728655338287354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29535973072052}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8496469259262085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941686511039734},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6688747406005859},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6427750587463379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639667272567749},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5893838405609131},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5611236691474915},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5481385588645935},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5027532577514648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5017752647399902},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.46615657210350037},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4630349576473236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4175381660461426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3991573452949524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37728655338287354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29535973072052},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/W7746136","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1958328135","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2110119381","https://openalex.org/W2519284461","https://openalex.org/W2559348937","https://openalex.org/W2604260814","https://openalex.org/W2895236117","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963603913","https://openalex.org/W2964241181","https://openalex.org/W2969764577","https://openalex.org/W2991023920","https://openalex.org/W2997125355","https://openalex.org/W3017351200","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6726508743","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W3209723314","https://openalex.org/W2952736415","https://openalex.org/W1689909837","https://openalex.org/W2953362004","https://openalex.org/W4298525700"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1,48,123],"object":[2,33,49],"detection":[3,50],"(WSOD)":[4],"has":[5],"attracted":[6],"more":[7],"attention":[8],"because":[9],"it":[10],"only":[11,66],"requires":[12],"image-level":[13],"annotations":[14,83],"to":[15,30,60,78,112,140,145,153],"indicate":[16],"whether":[17],"a":[18,41,105],"certain":[19],"class":[20],"exists.":[21],"Most":[22],"WSOD":[23,65],"methods":[24,70],"utilize":[25],"multiple":[26,121],"instance":[27,136,180],"learning":[28],"(MIL)":[29],"train":[31],"an":[32,36,135],"detector":[34],"where":[35],"image":[37],"is":[38,169],"treated":[39],"as":[40],"bag":[42],"of":[43,81,90,96,157,193],"candidate":[44,63],"proposals.":[45],"Unlike":[46],"fully":[47],"(FSOD)":[51],"that":[52,125,168],"uses":[53],"the":[54,79,88,94,97,155,170],"object-aware":[55,142],"region":[56,68,107],"proposal":[57,69,108],"network":[58,110,119],"(RPN)":[59],"generate":[61,141],"effective":[62],"proposals,":[64],"utilizes":[67],"(e.g.,":[71],"selective":[72],"search":[73],"or":[74],"edge":[75],"boxes)":[76],"due":[77],"lack":[80],"instance-level":[82],"(i.e.,":[84],"bounding":[85],"boxes).":[86],"However,":[87],"quality":[89],"proposals":[91,115,147],"can":[92],"influence":[93],"training":[95],"detector.":[98],"To":[99],"solve":[100],"this":[101],"problem,":[102],"we":[103,133,160],"propose":[104,134],"hierarchical":[106],"refinement":[109,138,182],"(HRPRN)":[111],"refine":[113,146],"these":[114],"gradually.":[116],"Specifically,":[117],"our":[118,158,176,184],"contains":[120],"weakly":[122],"detectors":[124],"are":[126],"trained":[127],"stage":[128],"by":[129],"stage.":[130,150],"In":[131,151],"addition,":[132],"regression":[137],"model":[139],"coordinate":[143],"offsets":[144],"at":[148],"each":[149],"order":[152],"demonstrate":[154],"effectiveness":[156],"method,":[159,178],"conduct":[161],"experiments":[162],"on":[163],"PASCAL":[164],"VOC":[165],"2007":[166],"dataset":[167],"widely":[171],"used":[172],"benchmark.":[173],"Compared":[174],"with":[175],"baseline":[177],"online":[179],"classifier":[181],"(OICR),":[183],"method":[185],"achieves":[186],"9%":[187],"and":[188,195],"5.6%":[189],"improvements":[190],"in":[191],"terms":[192],"mAP":[194],"CorLoc,":[196],"respectively.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
