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 CNN's e.g. VGGnet (which I am trying to use) and the corresponding layers please?
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 query image and database images. So far no good results.