Category: image compression
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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 ...
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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 ...
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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 ...
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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 ...