Abstract: First image data representing a first human wearing a first article of clothing may be received. The first image data, when rendered on a display, may include a first photometric artifact. A first generator network may be used to generate second image data from the first image data. The first photometric artifact may be removed from the second image data. A second generator network may be used to generate third image data from the second image data, the third image data representing the first human in a different pose relative to the first image data. Fourth image data representing the first article of clothing segmented from the first human may be generated and displayed on a display.

Abstract: Devices and techniques are generally described for catalog normalization and segmentation for fashion images. First image data representing a first human wearing a first article of clothing may be received. The first image data, when rendered on a display, may include a first photometric artifact. A first generator network may be used to generate second image data from the first image data. The first photometric artifact may be removed from the second image data. A second generator network may be used to generate third image data from the second image data, the third image data representing the first human in a different pose relative to the first image data. Fourth image data representing the first article of clothing segmented from the first human may be generated and displayed on a display.

Abstract: There is provided a method of identifying data object(s) of a predefined content category within a network document for presentation at a client terminal, comprising: receiving, at a network node at an internet service provider level of a network, web resource elements of a network document for rendering and presentation on a display associated with a client terminal; identifying data objects within the network document; extracting classification features from each data object; classifying at least one of the data objects into a predefined content category; generating reformatting instructions for adapting the presentation of the network document to reduce visibility of the data objects classified into the predefined content category upon rendering of the network document; creating a formatted network document by injecting the reformatting instructions into the network document for implementation by a rendering process executing on the client terminal; and transmitting the formatted network document to the cl

Abstract: There is provided a method for training a classifier for classifying applications, comprising: identifying, at a central server, features from training software applications; identifying a classification effectiveness rank for each of the features, wherein the classification effectiveness rank defines a difference in accuracy of classification of a respective of the training software applications with and without extraction of the feature; identifying resource requirements of each of the features of each of the training software applications; combining the classification effectiveness rank and the resource requirements for each of the features of each of the training software applications to select a group of classifying features from the features; generating a classifier for evaluating software applications based on the group of classifying features; and providing the classifier to a resource limited client terminal, for feature extraction and classification of a software application locally by the client te

Abstract: There is provided a computer-implemented method for identifying functions within software applications, comprising: receiving a software application for identification; automatically identifying third-party data acquisition functions embedded within the software application, the third-party data acquisition functions communicating with a remote third-party server; and providing the identified third-party data acquisition functions for the software application.