Comments (3)
naturomics
commented on July 18, 2024
The length of vector in the CapsNet paper represents the Euclidean norm, which a.k.a Euclidean distance of vector, in TensorFlow, you can simply call tf.norm to calculate the length of vector.
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parinaya-007
commented on July 18, 2024
The length of vector represents the probability of existence of a given entity/object/object-part. Vector length is simply the magnitude of the vector (vector-norm).
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AnushaMehta
commented on July 18, 2024
Related to vector, it is defined that the orientation of vector specifies pose parameters, how to get these parameters from output vector?
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