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Towards Accurate BNNs via Modeling Contextual Dependencies
The proposed binary model is built on modeling contextual dependencies. An overview of the BCDNet architecture is illustrate in Fig. 4. We first describe the fundamentals of... -
The CIFAR-10 dataset is used to evaluate the performance of FracBNN.
The CIFAR-10 dataset is used to evaluate the performance of FracBNN. -
The ImageNet dataset is used to evaluate the performance of FracBNN.
The ImageNet dataset is used to evaluate the performance of FracBNN. -
The first convolutional layer is not binarized.
The first convolutional layer is not binarized. -
Binary neural networks (BNNs) have 1-bit weights and activations.
Binary neural networks (BNNs) have 1-bit weights and activations. -
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional A...
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
