generative adversarial networks

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)

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

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

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

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

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

September 28, 2022 deep learning, generative adversarial networks, image compression

Unmanned vehicles require large amounts of diverse data to train their machine vision modules. Importantly, data should include rare yet important events that the

Mix and match networks (part 2)

February 8, 2021September 1, 2022 deep learning, generative adversarial networks, transfer learning

This is a brief update on mix and match networks (M&MNets), describing the new ideas included in the extended version (IJCV 2020). An earlier

MeRGANs: generating images without forgetting

October 29, 2018March 8, 2021 continual learning, deep learning, generative adversarial networks, transfer learning

The problem of catastrophic forgetting (a network forget previous tasks when learning a new one) and how to address it has been studied mostly

Mix and match networks

August 31, 2018November 5, 2023 deep learning, generative adversarial networks, transfer learning

We recently explored how we can take multiple seen image-to-image translators and reuse them to infer other unseen translations, in an approach we call

Generative adversarial networks and image-to-image translation

August 7, 2018August 7, 2018 deep learning, generative adversarial networks

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