Classification and regression performance is typically measured using metrics such as accuracy and AUC for classification, or mean squared error for regression. These ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...
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 ...
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Plenty of our childhoods had at least one math teacher who made the (ultimately erroneous) claim that we needed to learn to do math because we wouldn’t always have a calculator in our ...
MATLAB library to find minimum of nonlinear second-order cone programming problem, using the feasible direction interior-point algorithm (fdipa) as presented in [1]. This repository has been developed ...
Left: correspondences generated by 3DSmoothNet (green and red lines represent the inlier and outlier correspondences according to the ground truth respectively). Right: alignment estimated by TEASER++ ...
@article{HermansBeyer2017Arxiv, title = {{In Defense of the Triplet Loss for Person Re-Identification}}, author = {Hermans*, Alexander and Beyer*, Lucas and Leibe, Bastian}, journal = {arXiv preprint ...
This project presents a Hierarchical Deep Reinforcement Learning (HDRL) framework designed to efficiently manage spectrum sharing in an integrated terrestrial and non-terrestrial network (TN-NTN) ...
A Python implementation of the Mobilise-D algorithm pipeline for gait analysis using IMU worn at the lower back (Learn more about the Mobilise-D project). This package is meant as reference ...