Category: generative adversarial networks

Compression for training on-board machine vision: distributed data collection and dataset restoration for autonomous vehicles

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 ...
Mix and match networks (part 2)

Mix and match networks (part 2)

This is a brief update on mix and match networks (M&MNets), describing the new ideas included in the extended version ...
MeRGANs: generating images without forgetting

MeRGANs: generating images without forgetting

The problem of catastrophic forgetting (a network forget previous tasks when learning a new one) and how to address it ...
Mix and match networks

Mix and match networks

We recently explored how we can take multiple seen image-to-image translators and reuse them to infer other unseen translations, in ...
Generative adversarial networks and image-to-image translation

Generative adversarial networks and image-to-image translation

Yet another post about generative adversarial networks (GANs), pix2pix and CycleGAN. You can already find lots of webs with great introductions to ...