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Found 4 papers, 3 papers with code
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
The goal of Online Domain Adaptation for semantic segmentation is to handle unforeseeable domain changes that occur during deployment, like sudden weather events.
Semidefinite Relaxations for Robust Multiview Triangulation
We propose an approach based on convex relaxations for certifiably optimal robust multiview triangulation.
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
Unsupervised Domain Adaptation (UDA) aims at reducing the domain gap between training and testing data and is, in most cases, carried out in offline manner.
Optimal least-squares solution to the hand-eye calibration problem
We propose a least-squares formulation to the noisy hand-eye calibration problem using dual-quaternions, and introduce efficient algorithms to find the exact optimal solution, based on analytic properties of the problem, avoiding non-linear optimization.
