[DLHacks 実装]Perceptual Adversarial Networks for Image-to-Image TransformationDeep Learning JP
The document discusses two papers on image-to-image translation: Pix2Pix and PAN. Pix2Pix uses a conditional GAN with adversarial and per-pixel losses. PAN builds on Pix2Pix by adding a perceptual adversarial loss using the discriminator's features. This additional loss helps the discriminator better detect differences between real and fake images. The document provides examples of tasks like deraining and inpainting that both frameworks can address and compares their results. It concludes by discussing the author's implementation of Pix2Pix and PAN and results showing Pix2Pix generally outperforming PAN, potentially due to issues like the need for per-pixel loss or patch discriminator design.
2022/3/24に開催した「オンプレML基盤 on Kubernetes」の資料です。機械学習モデルの開発者が、よりモデルの開発にのみ集中できるようにすることを目指して開発している「LakeTahoe(レイクタホ)」について紹介します。
https://ml-kubernetes.connpass.com/event/239859/
2022/3/24に開催した「オンプレML基盤 on Kubernetes」の資料です。オンプレミス環境のKubernetesを使って構築した機械学習基盤の開発、運用の取り組みをご紹介します。
https://ml-kubernetes.connpass.com/event/239859/