Category: image compression
Compression for training on-board machine vision: distributed data collection and dataset restoration for autonomous vehicles
Unmanned vehicles require large amounts of diverse data to train their machine vision modules. Importantly, data should include rare yet ...
MAE, SlimCAE and DANICE: towards practical neural image compression
Neural image and video codecs achieve competitive rate-distortion performance. However, they have a series of practical limitations, such as relying ...
Neural image compression in a nutshell (part 2: architectures and comparison)
Neural image codecs typically use specific elements in their architectures, such as GDN layers, hyperpriors and autoregressive context models. These ...
Neural image compression in a nutshell (part 1: main idea)
Neural image compression (a.k.a. learned image compression) is a new paradigm where codecs are modeled as deep neural networks whose ...