Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320724848> ?p ?o ?g. }
- W4320724848 abstract "Abstract In the Internet of Things, image acquisition equipment is very important, which will generate lots of invalid data when monitoring in real time. Analyzing the data collected from the terminal directly by edge calculation can remove invalid frames and improve the accuracy of system detection. SSD algorithm model is relatively light and fast detection speed. However, SSD algorithms don't take full advantage of both shallow and deep information, a multiscale feature fusion attention mechanism structure based on SSD algorithm was proposed in this paper, which combines the idea of multiscale feature fusion and attention mechanism. Improve the feature information expression ability by fusing adjacent feature layers for each detection layer. Then, add the attention mechanism to to improve the algorithm's attention to the feature map channels. The results of the experiment show that the optimized model detection accuracy is improved, which will greatly improve the reliability of edge calculation." @default.
- W4320724848 created "2023-02-15" @default.
- W4320724848 creator A5002357673 @default.
- W4320724848 creator A5003103323 @default.
- W4320724848 creator A5009021018 @default.
- W4320724848 creator A5043558784 @default.
- W4320724848 creator A5051718802 @default.
- W4320724848 creator A5057329072 @default.
- W4320724848 date "2023-02-14" @default.
- W4320724848 modified "2023-09-28" @default.
- W4320724848 title "SSD with Multi-scale feature Fusion and Attention mechanism" @default.
- W4320724848 cites W1958328135 @default.
- W4320724848 cites W2089398337 @default.
- W4320724848 cites W2118572719 @default.
- W4320724848 cites W2557827245 @default.
- W4320724848 cites W2884367402 @default.
- W4320724848 cites W2919115771 @default.
- W4320724848 cites W2971544482 @default.
- W4320724848 cites W3014610035 @default.
- W4320724848 cites W3045931268 @default.
- W4320724848 cites W3092311181 @default.
- W4320724848 cites W3094158180 @default.
- W4320724848 cites W3100321043 @default.
- W4320724848 cites W3205731400 @default.
- W4320724848 cites W4206296592 @default.
- W4320724848 cites W4206731724 @default.
- W4320724848 cites W4206790491 @default.
- W4320724848 cites W4220799465 @default.
- W4320724848 cites W4225533094 @default.
- W4320724848 cites W4225586447 @default.
- W4320724848 cites W4226313405 @default.
- W4320724848 cites W4311322265 @default.
- W4320724848 cites W639708223 @default.
- W4320724848 cites W7746136 @default.
- W4320724848 doi "https://doi.org/10.21203/rs.3.rs-1912629/v3" @default.
- W4320724848 hasPublicationYear "2023" @default.
- W4320724848 type Work @default.
- W4320724848 citedByCount "0" @default.
- W4320724848 crossrefType "posted-content" @default.
- W4320724848 hasAuthorship W4320724848A5002357673 @default.
- W4320724848 hasAuthorship W4320724848A5003103323 @default.
- W4320724848 hasAuthorship W4320724848A5009021018 @default.
- W4320724848 hasAuthorship W4320724848A5043558784 @default.
- W4320724848 hasAuthorship W4320724848A5051718802 @default.
- W4320724848 hasAuthorship W4320724848A5057329072 @default.
- W4320724848 hasBestOaLocation W43207248481 @default.
- W4320724848 hasConcept C103038307 @default.
- W4320724848 hasConcept C111472728 @default.
- W4320724848 hasConcept C121332964 @default.
- W4320724848 hasConcept C124101348 @default.
- W4320724848 hasConcept C138885662 @default.
- W4320724848 hasConcept C153180895 @default.
- W4320724848 hasConcept C154945302 @default.
- W4320724848 hasConcept C158525013 @default.
- W4320724848 hasConcept C162307627 @default.
- W4320724848 hasConcept C163258240 @default.
- W4320724848 hasConcept C173414695 @default.
- W4320724848 hasConcept C178790620 @default.
- W4320724848 hasConcept C185592680 @default.
- W4320724848 hasConcept C2776401178 @default.
- W4320724848 hasConcept C2778755073 @default.
- W4320724848 hasConcept C2779227376 @default.
- W4320724848 hasConcept C41008148 @default.
- W4320724848 hasConcept C41895202 @default.
- W4320724848 hasConcept C43214815 @default.
- W4320724848 hasConcept C62520636 @default.
- W4320724848 hasConcept C89611455 @default.
- W4320724848 hasConceptScore W4320724848C103038307 @default.
- W4320724848 hasConceptScore W4320724848C111472728 @default.
- W4320724848 hasConceptScore W4320724848C121332964 @default.
- W4320724848 hasConceptScore W4320724848C124101348 @default.
- W4320724848 hasConceptScore W4320724848C138885662 @default.
- W4320724848 hasConceptScore W4320724848C153180895 @default.
- W4320724848 hasConceptScore W4320724848C154945302 @default.
- W4320724848 hasConceptScore W4320724848C158525013 @default.
- W4320724848 hasConceptScore W4320724848C162307627 @default.
- W4320724848 hasConceptScore W4320724848C163258240 @default.
- W4320724848 hasConceptScore W4320724848C173414695 @default.
- W4320724848 hasConceptScore W4320724848C178790620 @default.
- W4320724848 hasConceptScore W4320724848C185592680 @default.
- W4320724848 hasConceptScore W4320724848C2776401178 @default.
- W4320724848 hasConceptScore W4320724848C2778755073 @default.
- W4320724848 hasConceptScore W4320724848C2779227376 @default.
- W4320724848 hasConceptScore W4320724848C41008148 @default.
- W4320724848 hasConceptScore W4320724848C41895202 @default.
- W4320724848 hasConceptScore W4320724848C43214815 @default.
- W4320724848 hasConceptScore W4320724848C62520636 @default.
- W4320724848 hasConceptScore W4320724848C89611455 @default.
- W4320724848 hasLocation W43207248481 @default.
- W4320724848 hasOpenAccess W4320724848 @default.
- W4320724848 hasPrimaryLocation W43207248481 @default.
- W4320724848 hasRelatedWork W2015538044 @default.
- W4320724848 hasRelatedWork W2016461833 @default.
- W4320724848 hasRelatedWork W2052253960 @default.
- W4320724848 hasRelatedWork W2057218287 @default.
- W4320724848 hasRelatedWork W2147802381 @default.
- W4320724848 hasRelatedWork W2379323008 @default.
- W4320724848 hasRelatedWork W2382607599 @default.
- W4320724848 hasRelatedWork W2760085659 @default.
- W4320724848 hasRelatedWork W3197541072 @default.