Examples include detecting objects and determining a set of features for the objects.
Examples include receiving a first image input, generating a number of feature maps from …

Detection of synthetic content in portrait videos, eg, deep fakes, is achieved. Detectors
blindly utilizing deep learning are not effective in catching fake content, as generative …

Abstract Systems and methods are described for object detection within a digital image
using a hierarchical softmax function. The method may include applying a first softmax …

Abstract Systems, apparatuses and methods may provide for detecting a facial image
including generating a spatial convolutional neural network score for one or more detected …

Disclosed herein is convolutional neural network (CNN) system for generating a
classification for an input image. According to an embodiment, the CNN system comprises a …

(57) ABSTRACT A method to analyze a facial image includes: inputting a facial image to a
residual network including residual blocks that are sequentially combined and arranged in a …

Abstract System and method for classifying data objects occurring in an unstructured
dataset, comprising: extracting feature vectors from the unstructured dataset, each feature …

(57) ABSTRACT A method for training a feature detector of an image pro cessing device,
including the steps of detecting features in the image to generate a score map, computing a …

A facial image generating method, a facial image generating apparatus, and a facial image
generating device are proposed. The method comprises: linking an M-dimensional facial …

Methods, systems, and devices for object recognition are described. A device may generate
a subspace based at least in part on a set of representative feature vectors for an object. The …