{"id":"https://openalex.org/W3137474199","doi":"https://doi.org/10.1109/icpr48806.2021.9412286","title":"Detecting Objects with High Object Region Percentage","display_name":"Detecting Objects with High Object Region Percentage","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3137474199","doi":"https://doi.org/10.1109/icpr48806.2021.9412286","mag":"3137474199"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5030374805","display_name":"Fen Fang","orcid":"https://orcid.org/0000-0002-3834-4795"},"institutions":[{"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":true,"raw_author_name":"Fen Fang","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052143634","display_name":"Qianli Xu","orcid":"https://orcid.org/0000-0003-0105-5903"},"institutions":[{"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":"Qianli Xu","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["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/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":["Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875880","display_name":"Ying Gu","orcid":"https://orcid.org/0000-0001-6501-302X"},"institutions":[{"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":"Ying Gu","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["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/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":["Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030374805"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53251634,"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":"7173","last_page":"7180"},"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":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9943000078201294,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.8300382494926453},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7305126190185547},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7183856964111328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6714261770248413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5925017595291138},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5829300284385681},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224279761314392},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5035728812217712},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4758579134941101},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4628089964389801},{"id":"https://openalex.org/keywords/activity-based-costing","display_name":"Activity-based costing","score":0.4514164924621582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3784427046775818},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16153773665428162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08354538679122925}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.8300382494926453},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7305126190185547},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7183856964111328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714261770248413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925017595291138},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5829300284385681},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224279761314392},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5035728812217712},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4758579134941101},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4628089964389801},{"id":"https://openalex.org/C164624739","wikidata":"https://www.wikidata.org/wiki/Q754331","display_name":"Activity-based costing","level":2,"score":0.4514164924621582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3784427046775818},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16153773665428162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08354538679122925},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7512504194","display_name":null,"funder_award_id":"#AI8A2b0046","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1536680647","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1952506714","https://openalex.org/W2008056655","https://openalex.org/W2102605133","https://openalex.org/W2106962004","https://openalex.org/W2107634464","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2123099218","https://openalex.org/W2124386111","https://openalex.org/W2153038208","https://openalex.org/W2159564241","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2407521645","https://openalex.org/W2490270993","https://openalex.org/W2519205375","https://openalex.org/W2565639579","https://openalex.org/W2606609115","https://openalex.org/W2613718673","https://openalex.org/W2625219738","https://openalex.org/W2799215407","https://openalex.org/W2950800384","https://openalex.org/W2955425717","https://openalex.org/W2963037989","https://openalex.org/W2963058975","https://openalex.org/W2963150697","https://openalex.org/W2963237621","https://openalex.org/W2963351448","https://openalex.org/W2981903848","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W6639102338","https://openalex.org/W6639204139","https://openalex.org/W6640835329","https://openalex.org/W6676338569","https://openalex.org/W6682933819","https://openalex.org/W6714138976","https://openalex.org/W6722946945","https://openalex.org/W6726790931","https://openalex.org/W6753494528","https://openalex.org/W6762718338","https://openalex.org/W6770321896","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/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W2962677013"],"abstract_inverted_index":{"Object":[0],"shape":[1],"is":[2],"a":[3,97,138],"subtle":[4],"but":[5],"important":[6],"factor":[7],"for":[8,26,51,118],"object":[9,81],"detection.":[10],"It":[11],"has":[12],"been":[13],"observed":[14],"that":[15,146],"the":[16,48,65,101,123],"object-region-percentage":[17],"(ORP)":[18],"can":[19,149],"be":[20],"utilized":[21],"to":[22,46,73,90,99,114],"improve":[23,47],"detection":[24,49],"accuracy":[25],"elongated":[27],"objects,":[28],"which":[29],"have":[30],"much":[31],"lower":[32],"ORPs":[33],"than":[34],"other":[35],"types":[36],"of":[37,59,70,112,125],"objects.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,63,78,95],"propose":[43],"an":[44,74,80],"approach":[45],"performance":[50,152],"objects":[52,72,113,131,136,155],"with":[53],"high":[54,92],"ORPs.":[55],"Our":[56],"method":[57,127,148],"consists":[58],"three":[60],"steps.":[61],"First,":[62],"adjust":[64,108],"ground":[66],"truth":[67],"bounding":[68,88,110],"boxes":[69,89,111],"high-ORP":[71,130],"optimal":[75],"range.":[76],"Second,":[77],"train":[79,96],"detector,":[82],"Faster":[83],"R-CNN,":[84],"based":[85],"on":[86,128,153],"adjusted":[87],"achieve":[91,150],"recall.":[93],"Finally,":[94],"DCNN":[98],"learn":[100],"adjustment":[102],"ratios":[103],"towards":[104],"four":[105],"directions":[106],"and":[107,134,162],"detected":[109],"get":[115],"better":[116],"localization":[117],"higher":[119],"precision.":[120],"We":[121],"evaluate":[122],"effectiveness":[124],"our":[126,147],"12":[129],"in":[132,137,160],"COCO":[133],"8":[135],"proprietary":[139],"gearbox":[140],"dataset.":[141],"The":[142],"experimental":[143],"results":[144],"show":[145],"state-of-the-art":[151],"these":[154],"while":[156],"costing":[157],"less":[158],"resources":[159],"training":[161],"inference":[163],"stages.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}