{"id":"https://openalex.org/W2981903848","doi":"https://doi.org/10.1109/tip.2019.2947792","title":"Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection","display_name":"Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection","publication_year":2019,"publication_date":"2019-10-22","ids":{"openalex":"https://openalex.org/W2981903848","doi":"https://doi.org/10.1109/tip.2019.2947792","mag":"2981903848","pmid":"https://pubmed.ncbi.nlm.nih.gov/31647436"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2947792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2947792","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030374805","display_name":"Fen Fang","orcid":"https://orcid.org/0000-0002-3834-4795"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fen Fang","raw_affiliation_strings":["Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632"],"raw_orcid":"https://orcid.org/0000-0002-3834-4795","affiliations":[{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524913","display_name":"Liyuan Li","orcid":"https://orcid.org/0000-0002-3758-1975"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liyuan Li","raw_affiliation_strings":["Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015639955","display_name":"Hongyuan Zhu","orcid":"https://orcid.org/0000-0001-5177-8320"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hongyuan Zhu","raw_affiliation_strings":["Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077258552","display_name":"Joo\u2010Hwee Lim","orcid":"https://orcid.org/0000-0002-4103-3824"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joo-Hwee Lim","raw_affiliation_strings":["Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632"],"raw_orcid":"https://orcid.org/0000-0002-4103-3824","affiliations":[{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Department of Image and Video Analysis, Institute for Infocomm Research, A*STAR, Singapore138632","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0929,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.9485302,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"29","issue":"1","first_page":"2052","last_page":"2065"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7007718086242676},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6899893879890442},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6441512107849121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6234211921691895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174297332763672},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5889967083930969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.539023756980896},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5340486764907837},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.48553988337516785},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4202896058559418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3962201178073883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30672717094421387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08249321579933167}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7007718086242676},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6899893879890442},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6441512107849121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6234211921691895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174297332763672},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5889967083930969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.539023756980896},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5340486764907837},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.48553988337516785},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4202896058559418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3962201178073883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30672717094421387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08249321579933167},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2947792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2947792","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31647436","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31647436","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W1536680647","https://openalex.org/W1545641654","https://openalex.org/W1861492603","https://openalex.org/W1960182310","https://openalex.org/W1964005749","https://openalex.org/W2085805060","https://openalex.org/W2102605133","https://openalex.org/W2151103935","https://openalex.org/W2161106546","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2407521645","https://openalex.org/W2461725797","https://openalex.org/W2511065100","https://openalex.org/W2512351403","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2588612844","https://openalex.org/W2598666589","https://openalex.org/W2604243686","https://openalex.org/W2613599172","https://openalex.org/W2613718673","https://openalex.org/W2737258237","https://openalex.org/W2752825721","https://openalex.org/W2765854388","https://openalex.org/W2768489488","https://openalex.org/W2796347433","https://openalex.org/W2798355657","https://openalex.org/W2799171885","https://openalex.org/W2885641989","https://openalex.org/W2888527098","https://openalex.org/W2888728082","https://openalex.org/W2894878591","https://openalex.org/W2895403383","https://openalex.org/W2899242765","https://openalex.org/W2962919973","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963150001","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963807362","https://openalex.org/W2964080601","https://openalex.org/W2964081807","https://openalex.org/W2964241181","https://openalex.org/W2964311202","https://openalex.org/W3106250896","https://openalex.org/W6602324145","https://openalex.org/W6620707391","https://openalex.org/W6632636493","https://openalex.org/W6639102338","https://openalex.org/W6676338569","https://openalex.org/W6684191040","https://openalex.org/W6714138976","https://openalex.org/W6741414320","https://openalex.org/W6746348132","https://openalex.org/W6750227808","https://openalex.org/W6752768497","https://openalex.org/W6753297246","https://openalex.org/W6753997096","https://openalex.org/W6755284672","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"While":[0],"analyzing":[1],"the":[2,14,24,31,40,74,108,113,116,121,145,189,200,225],"performance":[3,16],"of":[4,23,42,63,92,115,123,131,191,234,241],"state-of-the-art":[5,226],"R-CNN":[6,58,87,118,158],"based":[7],"generic":[8],"object":[9,47,64,134,185],"detectors,":[10],"we":[11,49,83,98],"find":[12],"that":[13],"detection":[15,238],"for":[17,45,104,183,236],"objects":[18,35,198,210,217,243],"with":[19,88,135,224],"low":[20,43],"object-region-percentages":[21],"(ORPs)":[22],"bounding":[25,181],"boxes":[26],"are":[27,36],"much":[28],"lower":[29],"than":[30],"overall":[32],"average.":[33],"Elongated":[34],"examples.":[37],"To":[38],"address":[39],"problem":[41],"ORPs":[44],"elongated":[46,133,184,197,206,242],"detection,":[48],"propose":[50],"a":[51,56,67,85,100,129,136,169,178,231],"hybrid":[52],"approach":[53,193],"which":[54],"employs":[55],"Faster":[57,86,117,157],"to":[59,72,159,167,176],"achieve":[60],"robust":[61,161],"detections":[62,77,163],"parts,":[65],"and":[66,78,94,119,143,151,164,203,213,215,239],"novel":[68],"model-driven":[69,125,149,165],"clustering":[70,126,150,166],"algorithm":[71,122],"group":[73],"related":[75],"partial":[76,89,109,141,162],"suppress":[79],"false":[80],"detections.":[81,110],"First,":[82],"train":[84],"region":[90],"proposals":[91],"suitable":[93],"stable":[95],"ORPs.":[96],"Next,":[97],"introduce":[99],"deep":[101],"CNN":[102],"(DCNN)":[103],"orientation":[105],"classification":[106],"on":[107,112,139,194],"Then,":[111],"outputs":[114],"DCNN,":[120],"adaptive":[124],"first":[127],"initializes":[128],"model":[130,146,153],"an":[132],"data-driven":[137,152],"process":[138],"local":[140],"detections,":[142],"refines":[144],"iteratively":[147],"by":[148],"updating.":[154],"By":[155],"exploiting":[156],"produce":[160],"form":[168],"global":[170],"representation,":[171],"our":[172,192,228],"method":[173,229],"is":[174],"able":[175],"generate":[177],"tight":[179],"oriented":[180],"box":[182],"detection.":[186],"We":[187],"evaluate":[188],"effectiveness":[190],"two":[195],"typical":[196,205],"in":[199,244],"COCO":[201],"dataset,":[202],"other":[204],"objects,":[207],"including":[208],"rigid":[209],"(pens,":[211],"screwdrivers":[212],"wrenches)":[214],"non-rigid":[216],"(cracks).":[218],"Experimental":[219],"results":[220],"show":[221],"that,":[222],"compared":[223],"approaches,":[227],"achieves":[230],"large":[232],"margin":[233],"improvements":[235],"both":[237],"localization":[240],"images.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}