AN EXPLORATION OF CONSISTENCY LEARNING WITH DATA AUGMENTATION

An Exploration of Consistency Learning with Data Augmentation

Deep Learning has achieved remarkable success with Supervised Learning.Nearly all of these successes require very large manually annotated datasets.Data augmentation has enabled Supervised Learning with less labeled data, while avoiding the pitfalls of overfitting.However, Supervised Learning still fails to be Robust, making different predictions f

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Improved averaging of hysteresis loops from micromagnetic simulations of non-interacting uniaxial nanoparticles

Micromagnetic simulations allow us to understand the magnetization reversal of magnetic systems, but the computational cost scales up with the size and, in the case of bulk-scale systems, it becomes an impossible task to face unless certain assumptions are made (e.g.uniform and fully saturated magnetization or simplified anisotropy).However, those

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THE SALSA PROJECT – HIGH-END AERIAL 3D CAMERA

The ATISS measurement drone, developed at the University of Applied Sciences Wildau, is an electrical powered motor glider with a maximum take-off weight of 25 kg including a payload capacity of 10 kg.Two 2.5 kW engines enable ultra short take-off procedures and the motor glider design results in a 1 h endurance.The concept of ATISS is based on the

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