Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...
Abstract: With the development of convolutional neural networks, the scale of activation data has increased dramatically, posing significant challenges to model storage and computation. The insight ...