Abstract: This research presents an innovative FPGA implementation of a $128 \times 128$ convolution systolic array architecture, optimized for image processing applications. The core of this design ...
Abstract: Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural ...
Join our Research Discord Group! This model is a fully open-source background remover optimized for images with humans. It is based on Highly Accurate Dichotomous Image Segmentation research. I ...
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