FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366989966> ?p ?o ?g. }

• W4366989966 endingPage "2672" @default.
• W4366989966 startingPage "2659" @default.
• W4366989966 abstract "Abstract Facial expression recognition (FER) is widely used in many fields. To further improve the accuracy of FER, this paper proposes a method based on double‐code LBP‐layer spatial‐attention network (DLSANet). The backbone model for the DLSANet is an emotion network (ENet), which is modified with a double‐code LBP (DLBP) layer and a spatial attention module. The DLBP layer is at the front of the first convolutional layer. More valuable features can be extracted by inputting the image processed by DLBP into convolutional layers. The JAFFE and CK+ datasets are used, which contain seven expressions: happiness, anger, disgust, neutral, fear, sadness, and surprise. The average of fivefold cross‐validation shows that DLSANet achieves a recognition accuracy of 93.81% and 98.68% on the JAFFE and CK+ datasets. The experiment reveals that the DLSANet can produce better classification results than state‐of‐the‐art methods." @default.
• W4366989966 created "2023-04-27" @default.
• W4366989966 creator A5007987858 @default.
• W4366989966 creator A5028974886 @default.
• W4366989966 creator A5038153401 @default.
• W4366989966 creator A5046739709 @default.
• W4366989966 creator A5090965728 @default.
• W4366989966 date "2023-04-24" @default.
• W4366989966 modified "2023-10-05" @default.
• W4366989966 title "DLSANet: Facial expression recognition with double‐code LBP‐layer spatial‐attention network" @default.
• W4366989966 cites W2003238582 @default.
• W4366989966 cites W2006431213 @default.
• W4366989966 cites W2032254851 @default.
• W4366989966 cites W2094512169 @default.
• W4366989966 cites W2097290407 @default.
• W4366989966 cites W2103943262 @default.
• W4366989966 cites W2145310492 @default.
• W4366989966 cites W2148143831 @default.
• W4366989966 cites W2163808566 @default.
• W4366989966 cites W2168414277 @default.
• W4366989966 cites W2172196609 @default.
• W4366989966 cites W2194775991 @default.
• W4366989966 cites W2246249023 @default.
• W4366989966 cites W2294427751 @default.
• W4366989966 cites W2410198229 @default.
• W4366989966 cites W2506506742 @default.
• W4366989966 cites W2613375858 @default.
• W4366989966 cites W2732301027 @default.
• W4366989966 cites W2738672149 @default.
• W4366989966 cites W2743915827 @default.
• W4366989966 cites W2805454019 @default.
• W4366989966 cites W2884585870 @default.
• W4366989966 cites W2909402173 @default.
• W4366989966 cites W2931011950 @default.
• W4366989966 cites W2946510805 @default.
• W4366989966 cites W2948464768 @default.
• W4366989966 cites W2963896050 @default.
• W4366989966 cites W2964350391 @default.
• W4366989966 cites W2998267251 @default.
• W4366989966 cites W2999805992 @default.
• W4366989966 cites W3006034647 @default.
• W4366989966 cites W3016991340 @default.
• W4366989966 cites W3024193661 @default.
• W4366989966 cites W3094044082 @default.
• W4366989966 cites W3097096317 @default.
• W4366989966 cites W3118290699 @default.
• W4366989966 cites W3119213473 @default.
• W4366989966 cites W3120615410 @default.
• W4366989966 cites W3121940920 @default.
• W4366989966 cites W3135972681 @default.
• W4366989966 cites W3138516171 @default.
• W4366989966 cites W3158068891 @default.
• W4366989966 cites W3198874147 @default.
• W4366989966 cites W3202769665 @default.
• W4366989966 cites W4200543936 @default.
• W4366989966 cites W4223923477 @default.
• W4366989966 cites W4225847459 @default.
• W4366989966 cites W4281679701 @default.
• W4366989966 cites W4312443924 @default.
• W4366989966 cites W4312622804 @default.
• W4366989966 cites W6094958 @default.
• W4366989966 doi "https://doi.org/10.1049/ipr2.12817" @default.
• W4366989966 hasPublicationYear "2023" @default.
• W4366989966 type Work @default.
• W4366989966 citedByCount "0" @default.
• W4366989966 crossrefType "journal-article" @default.
• W4366989966 hasAuthorship W4366989966A5007987858 @default.
• W4366989966 hasAuthorship W4366989966A5028974886 @default.
• W4366989966 hasAuthorship W4366989966A5038153401 @default.
• W4366989966 hasAuthorship W4366989966A5046739709 @default.
• W4366989966 hasAuthorship W4366989966A5090965728 @default.
• W4366989966 hasBestOaLocation W43669899661 @default.
• W4366989966 hasConcept C108583219 @default.
• W4366989966 hasConcept C118552586 @default.
• W4366989966 hasConcept C153180895 @default.
• W4366989966 hasConcept C154945302 @default.
• W4366989966 hasConcept C15744967 @default.
• W4366989966 hasConcept C177264268 @default.
• W4366989966 hasConcept C178790620 @default.
• W4366989966 hasConcept C185592680 @default.
• W4366989966 hasConcept C195704467 @default.
• W4366989966 hasConcept C199360897 @default.
• W4366989966 hasConcept C2776760102 @default.
• W4366989966 hasConcept C2777375102 @default.
• W4366989966 hasConcept C2779227376 @default.
• W4366989966 hasConcept C2779302386 @default.
• W4366989966 hasConcept C2779812673 @default.
• W4366989966 hasConcept C2780343955 @default.
• W4366989966 hasConcept C41008148 @default.
• W4366989966 hasConcept C46312422 @default.
• W4366989966 hasConcept C81363708 @default.
• W4366989966 hasConceptScore W4366989966C108583219 @default.
• W4366989966 hasConceptScore W4366989966C118552586 @default.
• W4366989966 hasConceptScore W4366989966C153180895 @default.
• W4366989966 hasConceptScore W4366989966C154945302 @default.
• W4366989966 hasConceptScore W4366989966C15744967 @default.
• W4366989966 hasConceptScore W4366989966C177264268 @default.
• W4366989966 hasConceptScore W4366989966C178790620 @default.

• next