Multi-task image detection method and system
The embodiment of the invention provides a multi-task image detection method. The method comprises the following steps: acquiring a to-be-detected image; extracting features of the to-be-detected image through a first feature extraction layer based on machine learning; and through at least two task...
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| creator | ZHANG TIANMING JING HAIPENG XUE TAOLUE WANG ZHIHENG |
| description | The embodiment of the invention provides a multi-task image detection method. The method comprises the following steps: acquiring a to-be-detected image; extracting features of the to-be-detected image through a first feature extraction layer based on machine learning; and through at least two task processing layers based on machine learning, based on the features, determining processing results of at least two tasks related to the to-be-detected image.
本说明书实施例提供一种多任务的图像检测方法，该方法包括获取待检测图像；通过基于机器学习的一个第一特征提取层，提取待检测图像的特征；以及通过基于机器学习的至少两个任务处理层，基于该特征，确定与待检测图像相关的至少两个任务的处理结果。 |
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本说明书实施例提供一种多任务的图像检测方法，该方法包括获取待检测图像；通过基于机器学习的一个第一特征提取层，提取待检测图像的特征；以及通过基于机器学习的至少两个任务处理层，基于该特征，确定与待检测图像相关的至少两个任务的处理结果。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</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=20231229&DB=EPODOC&CC=CN&NR=117315269A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231229&DB=EPODOC&CC=CN&NR=117315269A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG TIANMING</creatorcontrib><creatorcontrib>JING HAIPENG</creatorcontrib><creatorcontrib>XUE TAOLUE</creatorcontrib><creatorcontrib>WANG ZHIHENG</creatorcontrib><title>Multi-task image detection method and system</title><description>The embodiment of the invention provides a multi-task image detection method. The method comprises the following steps: acquiring a to-be-detected image; extracting features of the to-be-detected image through a first feature extraction layer based on machine learning; and through at least two task processing layers based on machine learning, based on the features, determining processing results of at least two tasks related to the to-be-detected image.
本说明书实施例提供一种多任务的图像检测方法，该方法包括获取待检测图像；通过基于机器学习的一个第一特征提取层，提取待检测图像的特征；以及通过基于机器学习的至少两个任务处理层，基于该特征，确定与待检测图像相关的至少两个任务的处理结果。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDxLc0pydQtSSzOVsjMTUxPVUhJLUlNLsnMz1PITS3JyE9RSMxLUSiuLC5JzeVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaG5saGpkZmlo7GxKgBAIy4Kb8</recordid><startdate>20231229</startdate><enddate>20231229</enddate><creator>ZHANG TIANMING</creator><creator>JING HAIPENG</creator><creator>XUE TAOLUE</creator><creator>WANG ZHIHENG</creator><scope>EVB</scope></search><sort><creationdate>20231229</creationdate><title>Multi-task image detection method and system</title><author>ZHANG TIANMING ; JING HAIPENG ; XUE TAOLUE ; WANG ZHIHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117315269A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG TIANMING</creatorcontrib><creatorcontrib>JING HAIPENG</creatorcontrib><creatorcontrib>XUE TAOLUE</creatorcontrib><creatorcontrib>WANG ZHIHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG TIANMING</au><au>JING HAIPENG</au><au>XUE TAOLUE</au><au>WANG ZHIHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Multi-task image detection method and system</title><date>2023-12-29</date><risdate>2023</risdate><abstract>The embodiment of the invention provides a multi-task image detection method. The method comprises the following steps: acquiring a to-be-detected image; extracting features of the to-be-detected image through a first feature extraction layer based on machine learning; and through at least two task processing layers based on machine learning, based on the features, determining processing results of at least two tasks related to the to-be-detected image.
本说明书实施例提供一种多任务的图像检测方法，该方法包括获取待检测图像；通过基于机器学习的一个第一特征提取层，提取待检测图像的特征；以及通过基于机器学习的至少两个任务处理层，基于该特征，确定与待检测图像相关的至少两个任务的处理结果。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | Multi-task image detection method and system |
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