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searching for One-shot learning (computer vision) 10 found (15 total)

alternate case: one-shot learning (computer vision)

Zero-shot learning (1,392 words) [view diff] no match in snippet view article find links to article

another computer vision paper and the term zero-shot learning caught on, as a take-off on one-shot learning that was introduced in computer vision years

Caltech 101 (2,213 words) [view diff] no match in snippet view article find links to article

along with the annotations, were used for another one-shot learning paper at Caltech. Other Computer Vision papers that report using the Caltech 101 data

Fei-Fei Li (5,058 words) [view diff] no match in snippet view article find links to article

particularly in computer vision. She is best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She

Explanation-based learning (1,022 words) [view diff] no match in snippet view article find links to article

Aravind Joshi, Srinivas Bangalore, and Khalil Sima'an. One-shot learning in computer vision Zero-shot learning "Special issue on explanation in case-based

Constellation model (3,960 words) [view diff] no match in snippet view article find links to article

Fei-fei. Object categorization: the constellation models. Lecture Slides. (2005) (link not working) Part-based models One-shot learning in computer vision

List of datasets in computer vision and image processing (7,847 words) [view diff] no match in snippet view article find links to article

(Downs et al., 2022) for a review of more datasets as of 2022. In computer vision, face images have been used extensively to develop facial recognition

Gerald Jay Sussman (1,854 words) [view diff] no match in snippet view article find links to article

saw.” This story was often told to illustrate that the difficulty of computer vision was not apparent to AI researchers in the early days. Sussman is a

Meta-learning (computer science) (2,496 words) [view diff] no match in snippet view article

T.; Kavukcuoglu, K.; Wierstra, D. (2016). "Matching networks for one shot learning" (PDF). Google DeepMind. Retrieved 3 November 2019. Sung, F.; Yang

Types of artificial neural networks (10,702 words) [view diff] no match in snippet view article find links to article

various perturbations) representations. Examples of applications in computer vision include DeepDream and robot navigation. They have wide applications

Progress in artificial intelligence (4,715 words) [view diff] no match in snippet view article find links to article

Botvinick, Matthew; Wierstra, Daan; Lillicrap, Timothy (19 May 2016). "One-shot Learning with Memory-Augmented Neural Networks". p. 5, Table 1. arXiv:1605