DETECTING OBJECT SURFACE KEYPOINTS FROM A SINGLE RGB IMAGE VIA DEEP LEARNING NETWORK FOR 6-DOF POSE ESTIMATION

Detecting Object Surface Keypoints From a Single RGB Image via Deep Learning Network for 6-DoF Pose Estimation

Estimating the 6-DoF (Degree of Freedom) object pose from a single RGB image is one of the challenging tasks in the field of computer vision.Before the pose which is defined as the translation and rotation parameters can be derived by the traditional PnP algorithm, 2D image projections of a set of 3D object keypoints must be accurately detected.In

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Investigation of the main trends of the primary real estate market in Ukraine and peculiarities of the seller marketing activity

The aim of this article.The main objective of this paper is to study the primary real estate market of Ukraine and identify the impact of the results on the formation of individual components of the marketing activity of construction companies and sellers.In this paper it was investigated the dynamics of supply in the primary real estate market of

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Improving mental dysfunction detection from EEG signals: Self-contrastive learning and multitask learning with transformers

Existing works relied on subjective interviews in clinical settings, which does not detect mental health problems at early stages.With the advancement in learning strategies, research are trying to find a better way for detecting mental disorders and dysfunctions at early stages.EEG signal measurements is one of the Pillow Protector prolific ways f

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