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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 .
As applied in the field of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems (early vision [1]), such as image smoothing, the stereo correspondence problem, image segmentation, object co-segmentation, and many other computer vision problems that can be formulated in terms of energy minimization.
Given an image D containing an instance of a known object category, e.g. cows, the OBJ CUT algorithm computes a segmentation of the object, that is, it infers a set of labels m. Let m be a set of binary labels, and let Θ {\displaystyle \Theta } be a shape parameter( Θ {\displaystyle \Theta } is a shape prior on the labels from a layered ...
The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.
Source image of size 8x8. Network built from the bitmap. The source is on the left, the sink on the right. The darker an edge is, the bigger is its capacity. a i is high when the pixel is green, b i when the pixel is not green. The penalty p ij are all equal. [31] In their book, Kleinberg and Tardos present an algorithm for segmenting an image ...
A key discovery for police in Hannah Kobayashi's case was learning the truth about reports she was seen in Los Angeles with an unknown person who could have put her in danger
Take a trip down memory lane with by looking at these incredible photos of Christmas window displays from the last 100 years,
OK, technically, the U.S. women's rugby sevens team won the Olympic bronze medal with a kick (a conversion, they call it). But the real moment was Alex Sedrick, running the length of the field and ...