Splet30. nov. 2024 · In this paper, we provide a large-scale densely-labeled multi-camera tracking dataset in five different environments with the help of an auto-annotation system. The … SpletUnsupervised deep representation learning for real-time tracking. This paper is an unsupervised tracking method. Good idea, worth learning: 1. Measure the consistency …
Equivariant Graph Neural Networks for Charged Particle Tracking
Splet02. feb. 2016 · This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications. To … Splet08. jun. 2024 · Eye Tracking for Everyone Code, Dataset and Models Introduction This is the README file for the official code, dataset and model release associated with the 2016 … hempstead first district court
Point-SLAM: Dense Neural Point Cloud-based SLAM
SpletThe Tracking API lets your customers track shipments right from your website using your reference or order number, allowing you to offer end-to-end customer service. Your … SpletThe Tracking API lets your customers track shipments right from your website using your reference or order number, allowing you to offer end-to-end customer service. Your customers can find specific details about shipment status, including the time and location of each scan, as the package moves toward its final destination. Splet12. apr. 2024 · In this work, we introduce EuclidNet, a novel symmetry-equivariant GNN for charged particle tracking. EuclidNet leverages the graph representation of collision events and enforces rotational symmetry with respect to the detector's beamline axis, leading to a more efficient model. We benchmark EuclidNet against the state-of-the-art Interaction ... langston hughes major works