discretized Gaussian Mixture likelihood is proposed to determine the latent code parameters in order to attain a more flexible and accurate model of entropy. Moreover, we have also enhanced the performance of the work by introducing recent attention modules in the network architecture. Simulation resul...
【图像压缩】高斯混合-注意力模型 《Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Atten》,程序员大本营,技术文章内容聚合第一站。
Visual stimuli consisted of a vertical sinusoidal grating pattern spatially windowed by a Gaussian function (Gabor grating). The carrier grating and its spatial window moved horizontally at one of several velocities. The standard deviation of the Gaussian window was 1 deg, carrier spatial frequency...