摘要:
A reservoir management method includes: in response to receiving input data to which label information is mapped, determining whether to add the input data to a reservoir based on a sampling probability; in response to determining to add the input data to the reservoir when the reservoir is filled, selecting candidate data to be removed from among sets of sample data included in the reservoir based on a target label distribution and a current label distribution of the reservoir, and removing the selected candidate data from the reservoir; and training a neural network model using sample data of the reservoir from which the selected candidate data is removed.
摘要:
A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.
摘要:
At least some example embodiments disclose a device and a method for determining a landmark of an image. The device may compare, to a key landmark set as a reference landmark, a first candidate landmark detected from a region of interest (ROI) of an input image and a second candidate landmark tracked from a previous frame, and determine a landmark similar to the key landmark to be a final landmark.
摘要:
A semiconductor device patterning method includes generating an input image by imaging information about a pattern of a sample, acquiring an output image of the pattern of the sample after a preset semiconductor process with respect to the sample, generating a predictive model through learning using a Deep Neural Network (DNN) with the input image and the output image, and predicting a pattern image after the semiconductor process for a pattern of a semiconductor device by using the predictive model.
摘要:
A facial expression recognition method includes actuating a processor to acquire an input image including an object; and identifying a facial expression intensity of the object from the input image based on a facial expression recognition model.