2011, Categorization and Convolutional Neural Networks

The Evolution of ImageNet and Its Applications

Viso.ai

FEBRUARY 11, 2024

It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. 2011 – A good ILSVRC image classification error rate is 25%. 2012 – A deep convolutional neural net called AlexNet achieves a 16% error rate. parameters, achieving an accuracy of around 84%.

Convolutional Neural Networks

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N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

Viso.ai

JANUARY 16, 2024

The AI community categorizes N-shot approaches into few, one, and zero-shot learning. Matching Networks: The algorithm computes embeddings using a support set, and one-shot learns by classifying the query data sample based on which support set embedding is closest to the query embedding – source. The CLIP model for ZSL shows 64.3%

Neural Network

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Artificial Intelligence Zone

The Evolution of ImageNet and Its Applications

N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

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