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.+However%252C+existing+methods+lack+attention+to+local+details%252C+such+as+facial+state+changes+between+video+frames%252C+which+can+reduce+the+discriminability+of+features+and+thus+lower+recognition+accuracy.+In+this+paper%252C+we+propose+a+Detail-Enhanced+Intra-+and+Inter-modal+Interaction+network(DE-III)+for+AVER%252C+incorporating+several+novel+aspects.+We+introduce+optical+flow+information+to+enrich+video+representations+with+texture+details+that+better+capture+facial+state+changes.+A+fusion+module+integrates+the+optical+flow+estimation+with+the+corresponding+video+frames+to+enhance+the+representation+of+facial+texture+variations.+We+also+design+attentive+intra-+and+inter-modal+feature+enhancement+modules+to+further+improve+the+richness+and+discriminability+of+video+and+audio+representations.+A+detailed+quantitative+evaluation+shows+that+our+proposed+model+outperforms+all+existing+methods+on+three+benchmark+datasets+for+both+concrete+and+continuous+emotion+recognition.+To+encourage+further+research+and+ensure+replicability%252C+we+will+release+our+full+code+upon+acceptance.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.edd5369cf2a4f4e8cc28d58458f47a13%3frik%3dGpjzPKwzCAIHRw%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Textual+Emotion+Recognition+Based+On+Inter+and+Intra+Variations+Flow+Diagram&FORM=IRPRST&ck=2B7D05EF19511FEAEC6826FDFB3BF340&selectedIndex=30&itb=0)
