Titlebook: Vergleichende Regierungslehre; Eine Einführung Hans-Joachim Lauth (Privatdozent) Textbook 20021st edition Springer Fachmedien Wiesbaden 200

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ive to traditional contact-based methods. Techniques such as three-dimensional digital image correlation (3D-DIC) and three-dimensional point tracking (3DPT) have been widely used to extract full line-of-sight displacements and deformations of structures by analyzing images acquired from synchronize

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Hans-Joachim Lauthntrol systems. However, despite the advancement of security systems, human monitoring and involvement are still necessary to effectively combat these crimes. This paper provides a robust automated handgun identification technique for recorded videos and live CCTV footage that may be used for both co

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Siegmar Schmidtan effective treatment as unnecessary surgeries and ignorance of any potential cancer could be the situations of concern. Thus, classifying any detected lesion as an adenoma (with the potential to become cancerous) or hyperplastic (non-cancerous) is necessary. In recent years, such classification ta

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Jürgen R. Winklerf conventional cameras. Event cameras output sparse and asynchronous events, providing a potential solution to solve these problems. However, effectively fusing two heterogeneous modalities remains an open issue. In this work, we propose a novel hierarchical feature refinement network for event-fram

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Dieter Nohlentains subtle errors and imperfections stemming from its annotation procedure. With the advent of high-performing models, we ask whether these errors of COCO are hindering its utility in reliably benchmarking further progress. In search for an answer, we inspect thousands of masks from COCO (2017 ver

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Klaus von Beymelate such features by attributing model predictions to the input. Within our approach, robust feature attributions exhibit a certain consistency, while non-robust feature attributions are susceptible to fluctuations. This behavior allows identification of correlation between model reliance on non-ro

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Roland Czadaethods have achieved great success by either following the alignment and fusion pipeline or utilizing attention mechanism. However, the large computation cost and inference delay hinder them from deploying on resource limited devices. In this paper, to achieve better efficiency, a novel Selective Al