Based on the analysis, we discuss open challenges and future research directions for both algorithms and corresponding hardware designs of quantized neural networks (QNNs). Keywords: Convolutional ...

Vector Quantized Variational Autoencoder (VQ-VAE) has shown promise in representing diverse and complex data distributions in deep learning, making it a potential solution for various applications ...

For yarn-dyed shirt cut defects detection problems in production process, this paper proposes a yarn-dyed shirt cut defects detection method based on attention vector-quantized variational autoencoder ...