4 papers
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
Miquel Martà i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We investigate the potential of invariant and equivariant semi-supervised learning for addressing the challenges of training multi-task models on partially labeled datasets with di…
Visible Structure Retrieval for Lightweight Image-Based Relocalisation
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel +2
Accurate camera pose estimation from an image observation in a previously mapped environment is commonly done through structure-based methods: by finding correspondences between 2D…
Quantifying Epistemic Uncertainty in Absolute Pose Regression
Fereidoon Zangeneh, Amit Dekel, Alessandro Pieropan +1
Visual relocalization is the task of estimating the camera pose given an image it views. Absolute pose regression offers a solution to this task by training a neural network, direc…
Conditional Variational Autoencoders for Probabilistic Pose Regression
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel +2
Robots rely on visual relocalization to estimate their pose from camera images when they lose track. One of the challenges in visual relocalization is repetitive structures in the…