I am doing a project on visual place recognition in changing environments. The CNN used here is mostly AlexNet, and a feature vector is constructed from layer 3.
Does anyone know of similar work using other CNNs, for example, VGGnet (which I am trying to use) and the corresponding layers?
I have been trying out the different layers of VGGnet-16. I am trying to get the nearest correspondence to the query image by using the cosine difference between the query image and database images. So far no good results.