3 papers
cs.CV2026
Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification
Pedro Henrique da Costa Avelar, Anderson R. Tavares, LuÃs C. Lamb
Superpixel-based image classification has traditionally leveraged graph neural networks (GNNs) for processing irregular image representations. Recent advances in computer vision, d…
cs.NE2025
Neuroevolution of Self-Attention Over Proto-Objects
Rafael C. Pinto, Anderson R. Tavares
Proto-objects - image regions that share common visual properties - offer a promising alternative to traditional attention mechanisms based on rectangular-shaped image patches in n…
cs.NE2024
PReLU: Yet Another Single-Layer Solution to the XOR Problem
Rafael C. Pinto, Anderson R. Tavares
This paper demonstrates that a single-layer neural network using Parametric Rectified Linear Unit (PReLU) activation can solve the XOR problem, a simple fact that has been overlook…