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The Bayesian one-shot learning algorithm represents the foreground and background of images as parametrized by a mixture of constellation models. [12] During the learning phase, the parameters of these models are learned using a conjugate density parameter posterior and Variational Bayesian Expectation–Maximization (VBEM). [13]
The images have been rigorously collected during oceanic explorations and human-robot collaborative experiments, and annotated by human participants. Images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants, wrecks/ruins, human divers, robots, and sea-floor. 1,635 Images Segmentation 2020
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
The term zero-shot learning itself first appeared in the literature in a 2009 paper from Palatucci, Hinton, Pomerleau, and Mitchell at NIPS’09. [5] This terminology was repeated later in another computer vision paper [6] and the term zero-shot learning caught on, as a take-off on one-shot learning that was introduced in computer vision years ...
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
The propagation of trimap with optical flow was enhanced with control points along the object edge. The method uses per-image matting, but temporal coherence was improved with a temporal filter. Finally, a deep learning method [5] was developed for image matting in 2017. It overcomes most traditional methods. [6]
GLP-1 drugs may protect the brain from inflammation, some studies say, but others warn they may increase depression risk. Image credit: James Manning – PA Images/Getty Images.
In photography, bokeh (/ ˈ b oʊ k ə / BOH-kə or / ˈ b oʊ k eɪ / BOH-kay; [1] Japanese:) is the aesthetic quality of the blur produced in out-of-focus parts of an image, whether foreground or background or both. It is created by using a wide aperture lens.
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