Abstract: Introduced here is an approach to allowing a computer-implemented model to learn its own ordering scheme by applying an appropriate loss function during training. More generally, the present disclosure pertains to computer programs and associated computer-implemented techniques for estimating pose of a living body through simultaneous analysis of multiple visualizations. For example, joint type heatmaps—where a given heatmap includes every visible joint of the corresponding type across all visible persons—can be combined with joint person heatmaps—where a given heatmap includes every visible joint of the corresponding person—to better understand the relationship between joints visible in a digital image and people included in the digital image.

Abstract: Introduced here is an approach to allowing a computer-implemented model to learn its own ordering scheme by applying an appropriate loss function during training. More generally, the present disclosure pertains to computer programs and associated computer-implemented techniques for estimating pose of a living body through simultaneous analysis of multiple visualizations. For example, joint type heatmaps—where a given heatmap includes every visible joint of the corresponding type across all visible persons—can be combined with joint person heatmaps—where a given heatmap includes every visible joint of the corresponding person—to better understand the relationship between joints visible in a digital image and people included in the digital image.

Abstract: The method applies to an underground formation concerning which one has geologic data obtained by coring or logging in wells (W.sub.1 -W.sub.k) crossing the formation and seismic data which have been obtained by means of a reflection survey of the 3D type. It is based on a statistical calibration technique with a statistical relationship obtained by bringing together the local geologic data (measured in wells) and seismic attributes read on seismic traces (RW.sub.1 -RW.sub.k) obtained in the immediate neighborhood of each well. This calibration allows an empirical relation to be obtained and applied to all the seismic traces of the field in order to infer the associated geologic characteristics therefrom, by taking advantage of the much denser spatial coverage allowed by seismic prospecting.