How to train accurate BNNs for embedded systems?. (arXiv:2206.12322v1 [cs.LG])

A key enabler of deploying convolutional neural networks on
resource-constrained embedded systems is the binary neural network (BNN). BNNs
save on memory and simplify computation by binarizing both features and
weights. Unfortunately, binarization is inevitably accompanied by a severe
decrease in accuracy. To reduce the accuracy gap between binary and
full-precision networks, many repair methods have been proposed in the recent
past, which we have classified and put into a single overview in this chapter.
The repair methods are divided …

arxiv embedded lg systems