1 code implementation • 15 Jun 2023 • Ian Mason, Anirban Sarkar, Tomotake Sasaki, Xavier Boix
In this work we develop a compositional image classification task where, given a few elemental corruptions, models are asked to generalize to compositions of these corruptions.
no code implementations • 17 Mar 2023 • Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki, Xavier Boix
Deep Neural Networks (DNNs) often fail in out-of-distribution scenarios.
1 code implementation • 12 Jan 2022 • Ian Mason, Sebastian Starke, Taku Komura
In this work we present a style modelling system that uses an animation synthesis network to model motion content based on local motion phases.
no code implementations • NeurIPS Workshop ICBINB 2021 • Cian Eastwood, Ian Mason, Chris Williams
To adapt to changes in real-world data distributions, neural networks must update their parameters.
1 code implementation • ICLR 2022 • Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf
Existing methods for SFDA leverage entropy-minimization techniques which: (i) apply only to classification; (ii) destroy model calibration; and (iii) rely on the source model achieving a good level of feature-space class-separation in the target domain.