What is IRRF?

IRRF likely refers to an 'Inverted Residual Refinement Fusion' network, a type of neural network architecture commonly used in image processing and computer vision tasks. These networks are typically designed to enhance the details and quality of images, especially in tasks like image super-resolution (increasing the resolution of an image) or image enhancement. The 'inverted residual' block helps in efficient feature extraction, while 'refinement fusion' focuses on combining and refining features from different levels of the network to produce a high-quality output. Specific implementations and variations of IRRF networks may exist.