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Large Scale Visual Recognition Competition (ILSVRC) is a world-famous challenge in image classification. The objective of ILSVRC is to classify large-scale images from 1000 different classes, on the large-scale ImageNet dataset [9]. Convolutional Neural Networks (CNNs) are doing better as deeper and wider architectures emerge, thanks to the growing computing power. In this section, we visit some of the famous CNN architectures that have had a great impact on the history of Computer Vision, especially on Image Recognition. With the development of modern techniques in designing CNNs, those hand-crafted architectures have achieved record-breaking performance on a wide range of applications, achieving much superior performance compared to humans.

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CNN Architectures

  • 章节

  • 发表日期：

    2026年

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  • Yiran Chen,
  • Hai Li,
  • Huanrui Yang

摘要

Large Scale Visual Recognition Competition (ILSVRC) is a world-famous challenge in image classification. The objective of ILSVRC is to classify large-scale images from 1000 different classes, on the large-scale ImageNet dataset [9]. Convolutional Neural Networks (CNNs) are doing better as deeper and wider architectures emerge, thanks to the growing computing power. In this section, we visit some of the famous CNN architectures that have had a great impact on the history of Computer Vision, especially on Image Recognition. With the development of modern techniques in designing CNNs, those hand-crafted architectures have achieved record-breaking performance on a wide range of applications, achieving much superior performance compared to humans.