We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
In the source code, the author calculates the cosine distance as follows.
sum_support = torch.sum(torch.pow(support_image, 2), 1) support_manitude = sum_support.clamp(eps, float("inf")).rsqrt() dot_product = input_image.unsqueeze(1).bmm(support_image.unsqueeze(2)).squeeze() cosine_similarity = dot_product * support_manitude * input_manitude similarities.append(cosine_similarity)
But in my opinion, the right the cosine distance should be calculated as follows.
sum_support = torch.sum(torch.pow(support_image, 2), 1) support_manitude = sum_support.clamp(eps, float("inf")).rsqrt() sum_input = torch.sum(torch.pow(input_image, 2), 1) input_manitude = sum_input.clamp(eps, float("inf")).rsqrt() dot_product = input_image.unsqueeze(1).bmm(support_image.unsqueeze(2)).squeeze() cosine_similarity = dot_product * support_manitude * input_manitude similarities.append(cosine_similarity)
Am i right? If not, what is the mistake?
The text was updated successfully, but these errors were encountered:
@BoyuanJiang
Sorry, something went wrong.
No branches or pull requests
In the source code, the author calculates the cosine distance as follows.
But in my opinion, the right the cosine distance should be calculated as follows.
Am i right? If not, what is the mistake?
The text was updated successfully, but these errors were encountered: