Semantic Perturbations with Normalizing Flows for Improved Generalization

2021-10-06

ICCV 2021Proceedings of the IEEE International Conference on Computer Vision

Semantic Perturbations with Normalizing Flows for Improved Generalization

Oğuz Kaan Yüksel·Sebastian Urban Stich·Martin Jaggi·Tatjana Chavdarova

October 2021

PaperCodeTalk

Research context

Open in graph

Addresses

Computer vision

Uses

Adversarial training Normalizing flow

Studies

Generalization

Produces

AlgorithmData augmentation

Flow-based semantic augmentation

An algorithm that constructs invertible latent-space perturbations for unsupervised data augmentation in image classification.

Versions

• Proceedings of the IEEE International Conference on Computer Vision 2021 · canonical
• ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models 2021

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