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Hi, recently I've come across the implementation of a 2018 paper GE2E, which basically computed the loss with the corresponding similarity matrix given embedding vectors and all centroids. I wrote a simple Python code with the whole logics of GE2E, and yet I don't seem to know if I were correct or not. Furthermore, I was wondering if this could be applied to BaseMetricLossFunction.
Hi, recently I've come across the implementation of a 2018 paper GE2E, which basically computed the loss with the corresponding similarity matrix given embedding vectors and all centroids. I wrote a simple Python code with the whole logics of GE2E, and yet I don't seem to know if I were correct or not. Furthermore, I was wondering if this could be applied to
BaseMetricLossFunction
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