Comments (4)
Take out also the ˋso3_integrate` operation
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Hi @mariogeiger, thanks for your answer.
Without so3_integrate
layer, it now returns a feature map in shape (1, 64, 12, 12, 12). How can I interpret last three (alpha=12, beta=12, gamma=12) dimensions as feature vectors? I mean, VGG16 returns 512 feature vectors from a feature map (1, 512, 7, 7).
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It's a 3D feature map, with axes for alpha, beta (spherical coordinates) and gamma (filter orientation).
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Thanks for your comment.
So, how can I convert the final 5D feature map(1, 64, 12, 12, 12) into a 4D feature map like VGG-16 (1, 512, 7, 7)?
I want to extract specific features from the feature map. For example, I have a panoramic image with the size of [10, 5]. An object located at the pixel [1,1] and I want the feature vector at [1,1] from the feature map.
I really appreciate if you share your precious comments. Thanks in advance. @mariogeiger @tscohen @jonas-koehler
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Related Issues (20)
- shrec17 dataset HOT 15
- Cannot run the code in Mac, as there is no CUDA
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