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  2. Visual spatial attention - Wikipedia

    en.wikipedia.org/wiki/Visual_spatial_attention

    Visual spatial attention. Visual spatial attention is a form of visual attention that involves directing attention to a location in space. Similar to its temporal counterpart visual temporal attention, these attention modules have been widely implemented in video analytics in computer vision to provide enhanced performance and human ...

  3. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    U-Net is a convolutional neural network that was developed for image segmentation. [1] The network is based on a fully convolutional neural network [2] whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation. Segmentation of a 512 × 512 image takes less than a second on a modern ...

  4. Neural radiance field - Wikipedia

    en.wikipedia.org/wiki/Neural_radiance_field

    Neural radiance field. A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene.

  5. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    End-to-end training and prediction are common practice in computer vision. However, human interpretable explanations are required for critical systems such as a self-driving cars . [ 159 ] With recent advances in visual salience , spatial attention , and temporal attention , the most critical spatial regions/temporal instants could be ...

  6. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. Images manually segmented. 80 Images Aerial Classification, object detection 2013 [141] [142] J. Yuan et al. KIT AIS Data Set Multiple labeled training and evaluation datasets of aerial images of crowds. Images manually labeled to show paths of individuals through ...

  7. Foveated imaging - Wikipedia

    en.wikipedia.org/wiki/Foveated_imaging

    Foveated imaging is a digital image processing technique in which the image resolution, or amount of detail, varies across the image according to one or more "fixation points". A fixation point indicates the highest resolution region of the image and corresponds to the center of the eye 's retina, the fovea. The location of a fixation point may ...

  8. Visual acuity - Wikipedia

    en.wikipedia.org/wiki/Visual_acuity

    Eye examination for visual acuity. Visual acuity is a measure of the spatial resolution of the visual processing system. VA, as it is sometimes referred to by optical professionals, is tested by requiring the person whose vision is being tested to identify so-called optotypes – stylized letters, Landolt rings, pediatric symbols, symbols for the illiterate, standardized Cyrillic letters in ...

  9. Sensory substitution - Wikipedia

    en.wikipedia.org/wiki/Sensory_substitution

    It is essential to take into account the spatial resolution of the receptor as it has a major effect on the resolution of the sensory substitution. [29] A high resolution pin-arrayed display is able to present spatial information via tactile symbols, such as city maps [39] and obstacle maps. [40]