With help from Von Neumann ED , EL is in year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Tuesday, May 2, 2023

latest updates 5/4 - how did imagenet alumni (around Fei-Fei Li) change world from 2006 onwards

 we welcome corrections -our current understanding

in 2006 out of stanford fei-fei li became the most connected & cooperative alumni of imagenet research

from 2010-2017 Imagenet Large Scale challenges were held

typically the organisers were :  Prof. Li Fei-Fei, PI, Stanford University Prof. Jia Deng, Princeton University Prof. Olga Russakovsky, Princeton University Prof. Alex Berg, UNC Chapel Hill, Facebook, Shopagon Prof. Kai Li, Princeton University

typically 5 winners were announced annually-when pressed chatgpt says all winners were important but 3 to understand conequences of first may be:

  1. ResNet (2015): As you mentioned, ResNet is significant because of its connection to AlphaFold, which has revolutionized the field of protein folding prediction. ResNet's deep neural network architecture with skip connections enabled the training of extremely deep models, which has been instrumental in many other deep learning applications beyond image recognition.

  2. AlexNet (2012): AlexNet was the first deep convolutional neural network to win the ImageNet competition, and its success helped establish deep learning as a dominant approach in AI. Its architecture consisted of multiple layers of convolutional and pooling layers, followed by fully connected layers. AlexNet's breakthrough performance in image classification demonstrated the potential of deep learning for solving complex tasks.

  3. VGG (2014): VGG is another deep convolutional neural network architecture that achieved top performance in the ImageNet competition. Its architecture is simpler than AlexNet, with multiple 3x3 convolutional layers stacked on top of each other. VGG's success demonstrated that increasing the depth of neural networks can improve performance, paving the way for ResNet and other deep neural network architectures.

These three winners have all made significant contributions to the advancement of AI and have influenced the development of subsequent deep learning models.

x 2017 saw the last competition in the series and this FFL presentation 
  • L. Fei-Fei and J. Deng. ImageNet: Where have we been? Where are we going?CVPR Beyond ImageNet Large Scale Visual Recognition Challenge workshop, 2017pdf

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