Trepo - Selaus asiasanan mukaan "Synthetic data"
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Attention-Guided Learning of Force and Time Parameters for Deformable Object Manipulation from Simulated Deformations
(2025)
DiplomityöManipulation of 3D deformable objects (3DDOs) is a complex and underexplored challenge in the field of robotics. Many studies have recently begun to contribute to this domain, but its growth still lags behind that of other ... -
Quantifying the Impact of Occlusion Ratio and Type on Vision Model Detection Performance: Evaluating Robustness in Controlled Synthetic Occlusion Scenarios
(2025)
KandidaatintyöThe increasing deployment of deep learning-based computer vision models in diverse applications demands functionality beyond ideal conditions. These models often face various forms of noise, one of the most prominent being ...
