Understanding The CANet Architecture From Scratch
The Chained Context Aggregation Network (CANet) is a special image segmentation network that employs an asymmetric decoder to recover precise spatial details of prediction maps.
The Chained Context Aggregation Network (CANet) is a special image segmentation network that employs an asymmetric decoder to recover precise spatial details of prediction maps.
In the first part of this new series we'll explore basics of audio analysis and signal processing and we'll learn to apply basic machine learning techniques to audio.
Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical applications.
This blogpost offers an in-depth insight into the CVPR 2020 paper titled "Improving Convolutional Networks with Self-Calibrated Convolutions"
This article is an in-depth insight into the paper authored by Dai et. al., titled as "Attention as Activation".