Target recognition model training method, recognition method, device and equipment
The embodiment of the invention discloses a target recognition model training method and device, a recognition method and device, equipment and a storage medium. Firstly, image data is acquired; calculating the image data according to each layer of classification network in a preset multi-layer clas...
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| creator | CHEN LEI WANG XIN LIU HONG LAN TIAN ZHANG LEI LU YONGDI SUI YAQIN XIA JINGKAN JIANG NING LIU YU |
| description | The embodiment of the invention discloses a target recognition model training method and device, a recognition method and device, equipment and a storage medium. Firstly, image data is acquired; calculating the image data according to each layer of classification network in a preset multi-layer classification network and a preset compensation model corresponding to each layer of classification network to obtain at least one first classification result; determining first target image data corresponding to the first classification result from the image data according to the first classification result; calculating the first target image data based on a preset neural network to obtain a first recognition result; and finally, training a model comprising a multi-layer classification network and a neural network according to the first classification result and the first recognition result to obtain a target recognition model which is used for recognizing the image data to obtain a recognition result. The problem of |
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Firstly, image data is acquired; calculating the image data according to each layer of classification network in a preset multi-layer classification network and a preset compensation model corresponding to each layer of classification network to obtain at least one first classification result; determining first target image data corresponding to the first classification result from the image data according to the first classification result; calculating the first target image data based on a preset neural network to obtain a first recognition result; and finally, training a model comprising a multi-layer classification network and a neural network according to the first classification result and the first recognition result to obtain a target recognition model which is used for recognizing the image data to obtain a recognition result. The problem of</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220527&DB=EPODOC&CC=CN&NR=114549919A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25546,76297</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220527&DB=EPODOC&CC=CN&NR=114549919A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN LEI</creatorcontrib><creatorcontrib>WANG XIN</creatorcontrib><creatorcontrib>LIU HONG</creatorcontrib><creatorcontrib>LAN TIAN</creatorcontrib><creatorcontrib>ZHANG LEI</creatorcontrib><creatorcontrib>LU YONGDI</creatorcontrib><creatorcontrib>SUI YAQIN</creatorcontrib><creatorcontrib>XIA JINGKAN</creatorcontrib><creatorcontrib>JIANG NING</creatorcontrib><creatorcontrib>LIU YU</creatorcontrib><title>Target recognition model training method, recognition method, device and equipment</title><description>The embodiment of the invention discloses a target recognition model training method and device, a recognition method and device, equipment and a storage medium. Firstly, image data is acquired; calculating the image data according to each layer of classification network in a preset multi-layer classification network and a preset compensation model corresponding to each layer of classification network to obtain at least one first classification result; determining first target image data corresponding to the first classification result from the image data according to the first classification result; calculating the first target image data based on a preset neural network to obtain a first recognition result; and finally, training a model comprising a multi-layer classification network and a neural network according to the first classification result and the first recognition result to obtain a target recognition model which is used for recognizing the image data to obtain a recognition result. The problem of</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgKSSxKTy1RKEpNzk_PyyzJzM9TyM1PSc1RKClKzMzLzEtXyE0tychP0UFVAhVLSS3LTE5VSMxLUUgtLM0syE3NK-FhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGJqYmlpaGlo7GxKgBADvcOFo</recordid><startdate>20220527</startdate><enddate>20220527</enddate><creator>CHEN LEI</creator><creator>WANG XIN</creator><creator>LIU HONG</creator><creator>LAN TIAN</creator><creator>ZHANG LEI</creator><creator>LU YONGDI</creator><creator>SUI YAQIN</creator><creator>XIA JINGKAN</creator><creator>JIANG NING</creator><creator>LIU YU</creator><scope>EVB</scope></search><sort><creationdate>20220527</creationdate><title>Target recognition model training method, recognition method, device and equipment</title><author>CHEN LEI ; WANG XIN ; LIU HONG ; LAN TIAN ; ZHANG LEI ; LU YONGDI ; SUI YAQIN ; XIA JINGKAN ; JIANG NING ; LIU YU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114549919A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN LEI</creatorcontrib><creatorcontrib>WANG XIN</creatorcontrib><creatorcontrib>LIU HONG</creatorcontrib><creatorcontrib>LAN TIAN</creatorcontrib><creatorcontrib>ZHANG LEI</creatorcontrib><creatorcontrib>LU YONGDI</creatorcontrib><creatorcontrib>SUI YAQIN</creatorcontrib><creatorcontrib>XIA JINGKAN</creatorcontrib><creatorcontrib>JIANG NING</creatorcontrib><creatorcontrib>LIU YU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN LEI</au><au>WANG XIN</au><au>LIU HONG</au><au>LAN TIAN</au><au>ZHANG LEI</au><au>LU YONGDI</au><au>SUI YAQIN</au><au>XIA JINGKAN</au><au>JIANG NING</au><au>LIU YU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Target recognition model training method, recognition method, device and equipment</title><date>2022-05-27</date><risdate>2022</risdate><abstract>The embodiment of the invention discloses a target recognition model training method and device, a recognition method and device, equipment and a storage medium. Firstly, image data is acquired; calculating the image data according to each layer of classification network in a preset multi-layer classification network and a preset compensation model corresponding to each layer of classification network to obtain at least one first classification result; determining first target image data corresponding to the first classification result from the image data according to the first classification result; calculating the first target image data based on a preset neural network to obtain a first recognition result; and finally, training a model comprising a multi-layer classification network and a neural network according to the first classification result and the first recognition result to obtain a target recognition model which is used for recognizing the image data to obtain a recognition result. The problem of</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Target recognition model training method, recognition method, device and equipment |
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