Abstract: In image classification, identification of handwritten digits forms a simple choreacle especially with datasets such as MNIST that has grown to become a benchmark for testing machine ...
Developed by researchers at the Santa Fe Institute and collaborators, the dataset offers the most comprehensive, data-ready picture yet of how federal law has grown, reorganized, and become more ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
The MNIST dataset provided by GNNBenchmarkDataset is different from the dataset in the source paper “Benchmarking Graph Neural Networks”. The node features seem to be the same, but the edges are not ...
Abstract: This study compares and analyzes the performance of convolutional neural network (CNN) models combined with residual neural networks (ResNet) and an innovative model in the task of ...
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