Figure 7
From: A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications
(a) Effect of quantization of the in-pixel output activations, and (b) effect of the number of channels in the 1st convolutional layer for different kernel sizes and strides, on the test accuracy of our P2M custom model.
