ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

The proposed multi-task neural network performs three tasks, namely semantic segmentation, depth estimation, and soft-edge detection, which work together to enhance the accuracy of 3D reconstruction.

Researchers develop a novel neural network model that effectively reconstructs 3D digital images of relief-type cultural heritage objects from old photos Reports and Proceedings Ritsumeikan University ...

With the rise of downstream image tasks, the requirements for the quality of images obtained upstream are becoming higher and higher. In view of the many structural features of remote sensing images, ...

Researchers at Google Brain have announced Gated Multi-Layer Perceptron (gMLP), a deep-learning model that contains only basic multi-layer perceptrons. Using fewer parameters, gMLP outperforms Transfo ...