Theory
Channel Attention and Squeeze-and-Excitation Networks (SENet)
In this article we will cover one of the most influential attention mechanisms proposed in computer vision: channel attention, as seen in Squeeze-and-Excitation Networks (SENet).
GhostNet (CVPR 2020) in PyTorch and TensorFlow
In this post we'll take an in-depth look at feature maps in convolutional neural networks, do a thorough review of GhostNet, and break down the code in PyTorch and TensorFlow.
A Review of Popular Deep Learning Architectures: DenseNet, ResNeXt, MnasNet, and ShuffleNet v2
In this tutorial we will explore the four popular deep learning architectures for efficiently developing deep learning models.