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Image classification


  • VGGVery Deep Convolutional Networks for Large-Scale Image Recognition (2014)
    Convolutions, ReLU, max-pooling.
  • InceptionGoing deeper with convolutions (2015)
    Introduced in the original GoogLeNet paper. Many variants have been developed by the same authors.
  • ResNetDeep Residual Learning for Image Recognition (2015)
  • EfficientNetEfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019) [code]
    Do more hyparameter tuning on the Inception model to optimize both classification accuracy and speed. Many variants have been developed, such as noisy student and sharpness-aware minimization (SAM) (code).
  • BiTBig Transfer (BiT): General Visual Representation Learning (2019)
  • ViTAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (2020)
    Attention is all you need (image classification edition).