Diluted binary neural network
Y Lin, L Niu, Y Xiao, R Zhou - Pattern Recognition, 2023 - Elsevier
Binary neural networks (BNNs) are promising on resource-constrained devices because
they reduce memory consumption and accelerate inference effectively. However, they are …
they reduce memory consumption and accelerate inference effectively. However, they are …
Binary domain generalization for sparsifying binary neural networks
Binary neural networks (BNNs) are an attractive solution for developing and deploying deep
neural network (DNN)-based applications in resource constrained devices. Despite their …
neural network (DNN)-based applications in resource constrained devices. Despite their …
Towards high performance and accurate bnn inference on fpga with structured fine-grained pruning
K Fu, Z Qi, J Cai, X Shi - Proceedings of the 41st IEEE/ACM International …, 2022 - dl.acm.org
As the extreme case of quantization networks, Binary Neural Networks (BNNs) have
received tremendous attention due to many hardware-friendly properties in terms of storage …
received tremendous attention due to many hardware-friendly properties in terms of storage …