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Found 3 papers, 1 papers with code
FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets
Federated learning (FL) is increasingly being recognized as a key approach to overcoming the data silos that so frequently obstruct the training and deployment of machine-learning models in clinical settings.
MLHOps: Machine Learning for Healthcare Operations
We cover the foundational concepts of general machine learning operations, describe the initial setup of MLHOps pipelines (including data sources, preparation, engineering, and tools).
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
In this paper, we aim at filling this gap by developing a multi-object tracking algorithm that takes an image as input and produces trajectories of detected objects in a world coordinate system.
Ranked #16 on
Multiple Object Tracking
on KITTI Tracking test
