What is Adaptive average pooling and How does it work?

In average-pooling or max-pooling, you essentially set the stride and kernel-size by your own, setting them as hyper-parameters. You will have to re-configure them if you happen to change your input size.

In Adaptive Pooling on the other hand, we specify the output size instead. And the stride and kernel-size are automatically selected to adapt to the needs. The following equations are used to calculate the value in the source code.

Stride = (input_size//output_size)  
Kernel size = input_size - (output_size-1)*stride  
Padding = 0

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