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+module.+In+the+initial+phase%252C+the+bidirectional+cross-modality+interaction+(BCI)+part+facilitates+information+bridging+from+two+distinct+sources.+Subsequently%252C+the+features+are+further+refined+by+aligning+the+channel-level+mean+and+variance+in+the+two-fold+adaptive+feature+refinement+(TAFR)+part.+We+conducted+extensive+experiments+on+two+benchmarks%3a+the+low-resolution+PKU-DDD17-Car+dataset+and+the+high-resolution+DSEC+dataset.+Experimental+results+show+that+our+method+surpasses+the+state-of-the-art+by+an+impressive+margin+of+%2524textbf%7b8.0%7d%2525%2524+on+the+DSEC+dataset.+Besides%252C+our+method+exhibits+significantly+better+robustness+(textbf%7b69.5%7d%2525+versus+textbf%7b38.7%7d%2525)+when+introducing+15+different+corruption+types+to+the+frame+images.+The+code+can+be+found+at+the+link+(https%3a%252F%252Fgithub.com%252FHuCaoFighting%252FFRN).&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.257043a87e4c5a0de042c8cef7a2bc3f%3frik%3dYNXy0kdfzl8HXw%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Hierarchical+Feature+Refinement+Attention&FORM=IRPRST&ck=89FAD654677C7F5CBF912F495DF07059&selectedIndex=1&itb=0)
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