Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324
I really liked the architecture built by you and was trying to simulate the experiments. Can you please clarify what exactly the code for CANN is achieving? Is it for training or inference?
Great work, but I was wondering if there is any code available regarding the CANN network, as in the paper the implementation is of Flynet + CANN.
Any help would be appreciated !!
As shown above,the output of MLP is a probability score of each input image,and each neuron of CANN linearly connect to MLP.
So how CANN process the output data of MLP?
And what is the input unit V ?
And the output of CANN is max activity of n neurons,isn't it?