{"id":"https://openalex.org/W4377236426","doi":"https://doi.org/10.1145/3581807.3581888","title":"LEPD-Net: A Lightweight Efficient Network with Pyramid Dilated Convolution for Seed Sorting","display_name":"LEPD-Net: A Lightweight Efficient Network with Pyramid Dilated Convolution for Seed Sorting","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4377236426","doi":"https://doi.org/10.1145/3581807.3581888"},"language":"en","primary_location":{"id":"doi:10.1145/3581807.3581888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581807.3581888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103050730","display_name":"Weijie Li","orcid":"https://orcid.org/0000-0003-0218-7035"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Li","raw_affiliation_strings":["School of Electronic and Information, Zhong yuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0218-7035","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Zhong yuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042669997","display_name":"P. Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingsun Wei","raw_affiliation_strings":["School of Electronic and Information, Zhong yuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-2617-8985","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Zhong yuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581599","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0001-5115-8201"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["School of Electronic and Information, Zhong yuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5115-8201","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Zhong yuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091993547","display_name":"Xiaoting Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Xiao","raw_affiliation_strings":["School of Electronic and Information, Zhong yuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-2382-1691","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Zhong yuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927641","display_name":"Xiaomin Mu","orcid":"https://orcid.org/0000-0003-3806-909X"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Mu","raw_affiliation_strings":["School of Electronic and Information, Zhong yuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3806-909X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Zhong yuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002642532","display_name":"Zhenghui Hu","orcid":"https://orcid.org/0000-0002-6106-0416"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghui Hu","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0002-6106-0416","affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9567000269889832,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7508561611175537},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.7372898459434509},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6390249133110046},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6259118318557739},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.544002115726471},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48467186093330383},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4775301218032837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397708475589752},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.410929411649704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37923961877822876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37427932024002075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16218647360801697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1058022677898407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09077867865562439}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508561611175537},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7372898459434509},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6390249133110046},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6259118318557739},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.544002115726471},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48467186093330383},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4775301218032837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397708475589752},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.410929411649704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37923961877822876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37427932024002075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16218647360801697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1058022677898407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09077867865562439},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581807.3581888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581807.3581888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"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/W1686810756","https://openalex.org/W1990493984","https://openalex.org/W2194775991","https://openalex.org/W2526468814","https://openalex.org/W2752782242","https://openalex.org/W2781547414","https://openalex.org/W2796438033","https://openalex.org/W2820589693","https://openalex.org/W2896632102","https://openalex.org/W2942064811","https://openalex.org/W2954926493","https://openalex.org/W2963125010","https://openalex.org/W2965380104","https://openalex.org/W2991385255","https://openalex.org/W3004464859","https://openalex.org/W3032338640","https://openalex.org/W3134370624","https://openalex.org/W3168636294","https://openalex.org/W3173680135","https://openalex.org/W3177052299","https://openalex.org/W3201816303","https://openalex.org/W4301409532","https://openalex.org/W4320930577","https://openalex.org/W6603394118","https://openalex.org/W6746023985"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2739612537","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W4249847449","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667"],"abstract_inverted_index":{"To":[0,54],"achieve":[1],"long-term":[2],"economic":[3],"growth,":[4],"competitiveness,":[5],"and":[6,9,34,103,120,153,186,192,215],"sustainability,":[7],"speed":[8],"accuracy":[10,183],"are":[11],"the":[12,96,100,109,115,121,129,141,147,155,164,171,189],"key":[13,161],"requirements":[14],"when":[15],"it":[16,38],"comes":[17],"to":[18,42,94,113,126,145,158],"seed":[19,24,74,160,165],"purity":[20],"sorting.":[21,75],"However,":[22],"current":[23],"sorting":[25,166],"methods":[26],"suffer":[27],"from":[28],"large":[29],"number":[30,199],"of":[31,99,117,150,184,200],"model":[32,118],"parameters":[33,119,201],"computational":[35,122],"complexity,":[36],"make":[37],"a":[39,61,77,131],"great":[40],"challenge":[41],"deploy":[43],"them":[44],"in":[45,58],"real-time":[46],"applications,":[47],"especially":[48],"on":[49,188],"devices":[50],"with":[51,65,90],"limited":[52],"resources.":[53],"issue":[55],"above":[56],"problems,":[57],"this":[59],"paper,":[60],"lightweight":[62,133],"efficient":[63],"network":[64],"pyramid":[66,80],"dilated":[67,88],"convolution,":[68],"namely":[69],"LEPD-Net,":[70],"is":[71,83,137,168,202,206],"proposed":[72,179],"for":[73],"First,":[76],"residual":[78],"spatial":[79],"module":[81,136],"(RSPM)":[82],"elaborately":[84],"designed,":[85],"which":[86,139,205],"uses":[87,140],"convolution":[89,112],"different":[91],"dilation":[92],"rates":[93],"enlarge":[95],"structural":[97],"characteristics":[98],"receptive":[101],"field":[102],"effectively":[104],"extracts":[105],"multi-scale":[106],"features.":[107,162,173],"Then":[108],"depth-wise":[110],"separable":[111],"reduce":[114],"amount":[116],"complexity.":[123],"In":[124],"addition,":[125],"further":[127],"improve":[128],"performance,":[130],"novel":[132],"coordinate":[134],"attention":[135,148],"introduced,":[138],"local":[142],"cross-channel":[143],"interaction":[144],"obtain":[146],"value":[149],"each":[151],"channel":[152],"strengthen":[154],"network's":[156],"ability":[157],"learn":[159],"Finally,":[163],"task":[167],"completed":[169],"through":[170],"learned":[172],"Experimental":[174],"results":[175],"show":[176],"that":[177],"our":[178],"method":[180],"achieves":[181],"an":[182],"96.00%":[185],"97.25%":[187],"Maize":[190],"dataset":[191],"Red":[193],"Kidney":[194],"Bean":[195],"dataset,":[196],"respectively.":[197],"The":[198],"only":[203],"0.26M,":[204],"far":[207],"less":[208],"than":[209],"state-of-the-art":[210],"networks":[211],"(e.g.,":[212],"MobileNetv2,":[213],"Shufflenetv2,":[214],"PPLC-Net).":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
