Attention Mechanisms in Computer Vision

These notebooks explore different models which have helped define the state of the art for channel attention in CNN's.

Models included are:

• ‍Squeeze-and-Excitation Networks (SENet)
• Efficient Channel Attention for Deep Convolutional Neural Networks (ECA-Net)
• Convolutional Block Attention Module (CBAM)