Target detection method and device based on pyramid integration and attention enhancement
The invention discloses a target detection method and device based on pyramid integration and attention enhancement. The method comprises the steps of obtaining a to-be-detected image of a current scene; determining a corresponding target detection result in the to-be-detected image according to the...
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| creator | TANG XIANGYAN XU WENHANG |
| description | The invention discloses a target detection method and device based on pyramid integration and attention enhancement. The method comprises the steps of obtaining a to-be-detected image of a current scene; determining a corresponding target detection result in the to-be-detected image according to the to-be-detected image and a target detection model; wherein the target detection model comprises a feature extraction network, a pyramid integrated network, an FPN network, an attention module and a detection module; the pyramid integrated network comprises a maximum pooling layer and a cavity convolution layer; the maximum pooling layer and the dilated convolution layer operate in parallel. Thus, the small target and the large target can be detected respectively, features of different scales are extracted, the diversity of receptive field features is improved, the accuracy of detection of the small target and the large target is improved, and the accuracy of a target detection result is improved.
本申请公开了一种基于金字塔集成和注 |
| format | Patent |
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本申请公开了一种基于金字塔集成和注</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>eNqNirEKwjAURbM4iPoP8QMES6WdpShOTl2cyjO5tgHzEpKH4N8bix_gdDn3nKW69ZRGiLYQGHGBtYdMwWpiW86XM9B3yrC6qPhO5J3VjgVjojn_diQCngk8ERv4gmu1eNAzY_PbldqeT3132SGGATmSAUOG7lpVTXvY121zrP9pPveNOvU</recordid><startdate>20230912</startdate><enddate>20230912</enddate><creator>TANG XIANGYAN</creator><creator>XU WENHANG</creator><scope>EVB</scope></search><sort><creationdate>20230912</creationdate><title>Target detection method and device based on pyramid integration and attention enhancement</title><author>TANG XIANGYAN ; XU WENHANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116740376A3</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>TANG XIANGYAN</creatorcontrib><creatorcontrib>XU WENHANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TANG XIANGYAN</au><au>XU WENHANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Target detection method and device based on pyramid integration and attention enhancement</title><date>2023-09-12</date><risdate>2023</risdate><abstract>The invention discloses a target detection method and device based on pyramid integration and attention enhancement. The method comprises the steps of obtaining a to-be-detected image of a current scene; determining a corresponding target detection result in the to-be-detected image according to the to-be-detected image and a target detection model; wherein the target detection model comprises a feature extraction network, a pyramid integrated network, an FPN network, an attention module and a detection module; the pyramid integrated network comprises a maximum pooling layer and a cavity convolution layer; the maximum pooling layer and the dilated convolution layer operate in parallel. Thus, the small target and the large target can be detected respectively, features of different scales are extracted, the diversity of receptive field features is improved, the accuracy of detection of the small target and the large target is improved, and the accuracy of a target detection result is improved.
本申请公开了一种基于金字塔集成和注</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 | Target detection method and device based on pyramid integration and attention enhancement |
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