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AssigneesToyota Jidosha Kabushiki Kaisha, Katholieke Universiteit Leuven
InventorsWim ABBELOOS, Daniel OLMEDA REINO, Hazem ABDELKAWY, Jonas HEYLEN, Mark DE WOLF, Bruno DAWAGNE, Michael BARNES, Wim LEMKENS, Marc PROESMANS, Luc VAN GOOL
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The present disclosure provides a method for processing at least one image comprising inputting the image to at least one neural network, the at least one network being configured to deliver, for each pixel of a group of pixels belonging to an object of a given type visible on the image, an estimation of object parameters that are parameters of the object. The method further comprising processing the estimations of the object parameters using an instance segmentation mask identifying instances of objects having the given type.
A method for processing at least one image comprising inputting the image to at least one neural network, the at least one neural network being configured to deliver, for each pixel of a group of pixels belonging to an object of a given type visible on the image, an estimation of object parameters that are parameters of the object,
A system for processing at least one image comprising at least one neural network, the at least one neural network being configured to deliver, for each pixel of a group of pixels belonging to an object of a given type visible on the image, an estimation of object parameters that are parameters of the object,
Dependencies are inferred from the claim text.