CARAFE

Introduction to CARAFE CARAFE stands for Content-Aware ReAssembly of FEatures. It is a specialized operator for feature upsampling in convolutional neural networks. The primary goal of CARAFE is to improve image resolution while addressing some of the limitations of previous methods such as bilinear interpolation and deconvolution. What is Feature Upsampling? Feature upsampling is a critical step in most modern image processing and computer vision tasks, especially in deep neural networks. F