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I'm having difficulty understanding how local descriptors integrate gradient cues around shared depth-wise convolutions.
In Formula 3, it appears that the weights of the depth-wise convolution are summed rather than its gradients. I'm curious whether this summation of weights is related to capturing gradient cues.
The text was updated successfully, but these errors were encountered:
Hi, thanks for your work.
I'm having difficulty understanding how local descriptors integrate gradient cues around shared depth-wise convolutions.
In Formula 3, it appears that the weights of the depth-wise convolution are summed rather than its gradients. I'm curious whether this summation of weights is related to capturing gradient cues.
The text was updated successfully, but these errors were encountered: