AET
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Auto-Encoding Transformations (AETv1), CVPR 2019
`res = numpy.dot(numpy.linalg.inv(A.T * A) * A.T, B)` What do A and B denote? And how to understand the operation above? Your paper is excellent, but I find the snippet...
``` res = np.dot(np.linalg.inv(A.T * A) * A.T, B) ``` What is the purpose of the above statement? It is giving an error: "numpy.linalg.linalg.LinAlgError: Singular matrix" I tried using replacing...
Hi Liheng, General affine transformation or projective transformation can bring black areas at image border. Do these artifacts help network learn trivial shortcuts, such as predicting transformation parameters just according...
Hi, Liheng. I have reproduced supervised NIN as the paper setting, which is 88.23 in my experiment results, but the result of the paper report is 92.80. Will 92.8 be...
Hi, Thanks for sharing the code with us. I am curious why do we need to pre-generate and save the projective transformation parameters. This doesn't seem like an expensive computation,...