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%252C+which+only+requires+single+input+image+during+the+inference+phase+but+can+still+produce+highly+accurate+depth+estimations+comparable+to+rich+resource+based+methods.+Specifically%252C+we+treat+rich-resource+data+as+prior+information+and+extract+features+from+it+as+reference+features+in+an+offline+manner.+When+estimating+the+depth+for+a+single-image+image%252C+we+search+for+similar+pixels+from+the+rich-resource+features+and+use+them+as+prior+information+to+estimate+the+depth.+Experimental+results+demonstrate+that+our+model+outperform+other+single-image+model+and+can+achieve+comparable+or+even+better+performance+than+models+with+rich-resource+inputs%252C+only+using+low-resolution+single-image+input.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.1292548996fead9e385031fd911bf9eb%3frik%3d0RvmmLPWap9dVg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Monocular+Depth+Estimation+PSF&FORM=IRPRST&ck=CFB28B65A67164D5571D2A818C2C685F&selectedIndex=11&itb=0)
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