Nec Corporation

Nec Laboratories Europe Gmbh

Daniel Onoro-Rubio

Mathias Niepert

Systems and methods for contextualizing automatic image segmentation and/or regression including defining an hourglass neural network model, which includes defining an encoder configured to generate compression layers, including a bottleneck layer, and defining a decoder including a contextual convolution operation and configured to generate one or more reconstruction layers. The contextual convolution operation includes establishing, for each of the one or more reconstruction layers, a skip connection between the reconstruction layer and prior layer(s) of different spatial dimension, e.g., between the bottleneck layer and the reconstruction layer and/or between reconstruction layers.

Method and system for contextualizing automatic image segmentation and regression

A method for object density monitoring includes receiving, by a processing server, an input image captured by an image sensor. The method further includes providing an annotated dataset with a target object to be identified in the input image, and providing, by the processing server as output, an object density map generated from the input image. The processing server provides the object density map by using a deep neural network having one or more pairs of a compression layer and a decompression layer connected by gated shortcuts.

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Heidelberg, Germany

Daniel Onoro-Rubio