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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition , and won the ImageNet Large Scale Visual Recognition Challenge ( ILSVRC ) of that year.

  3. File:ResNet block.svg - Wikipedia

    en.wikipedia.org/wiki/File:ResNet_block.svg

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  4. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    If one freezes the rest of the model and only finetune the last layer, one can obtain another vision model at cost much less than training one from scratch. AlexNet block diagram AlexNet is a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton , who was Krizhevsky ...

  5. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    The process of Canny edge detection algorithm can be broken down to five different steps: Apply Gaussian filter to smooth the image in order to remove the noise; Find the intensity gradients of the image

  6. Texture synthesis - Wikipedia

    en.wikipedia.org/wiki/Texture_synthesis

    Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content. It is an object of research in computer graphics and is used in many fields, amongst others digital image editing, 3D computer graphics and post-production of films.

  7. CONN (functional connectivity toolbox) - Wikipedia

    en.wikipedia.org/wiki/CONN_(functional...

    It can also estimate task related modulation of functional connectivity strength within the scanner using weighted General Linear Model as well as generalized Psychophysiological Interaction models. In addition to properties of individual connections, properties of larger connectivity networks can also be analyzed using Graph theoretical ...

  8. Computer art - Wikipedia

    en.wikipedia.org/wiki/Computer_art

    One method of style transfer involves using a framework such as VGG or ResNet to break the artwork style down into statistics about visual features. The target photograph is subsequently modified to match those statistics. [21] Notable applications include Prisma, [22] Facebook Caffe2Go style transfer, [23] MIT's Nightmare Machine, [24] and ...

  9. Bayer filter - Wikipedia

    en.wikipedia.org/wiki/Bayer_filter

    The Bayer arrangement of color filters on the pixel array of an image sensor Profile/cross-section of sensor. A Bayer filter mosaic is a color filter array (CFA) for arranging RGB color filters on a square grid of photosensors.