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One-shot learning is an object categorizat … One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples. The term few-shot learning is also used for these problems, especially when more than one example is needed.ally when more than one example is needed.
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, http://courses.nus.edu.sg/course/eleclf/ee6901/Recognition%20by%20Components.pdf%7Ctitle=Recognition-by-Components: +
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, https://www.cs.utexas.edu/~grauman/courses/spring2009/slides/luis_pres.pdf%7Ctitle=Geometric +
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, http://host.robots.ox.ac.uk/pascal/VOC/pubs/fergus03.pdf%7Ctitle=Object +
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, https://www.cs.ubc.ca/~murphyk/Papers/nips2003_long.pdf%7Ctitle=Using +
, https://www.allpsych.uni-giessen.de/rauisch12/readings/ThorpeEtal.Nature.1996.pdf%7Ctitle=Speed +
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One-shot learning is an object categorizat … One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples. The term few-shot learning is also used for these problems, especially when more than one example is needed.ally when more than one example is needed.
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