The fitting degree of the model is expressed by r and the square of r, which is generally greater than 0.4; Judging the significance of independent variables according to the Sig value behind each independent variable coefficient. If it is less than 0.05, it can be said to be significant at 95% significance level, and if it is less than 0.0 1, it can be said to be significant at 99% significance level. If you don't give a coefficient table, you can't see much significance.
Image saliency
Saliency is a part of image segmentation, which is usually used to locate objects and boundaries (such as lines and curves). ) in the image. More precisely, image segmentation is a process of assigning a label to each pixel in an image, so that pixels with the same label can enjoy certain features.
Image saliency is an important visual feature in an image, which reflects the importance that human eyes attach to each region in the image. Since Laurent Itti published a paper in 1998, a large number of saliency mapping methods have been produced.