DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking

no code implementations • 17 Jul 2022 • Xiangyu Yin, Wenjie Ruan, Jonathan Fieldsend

In this paper, we propose a novel adversarial attack method to generate noises for single object tracking under black-box settings, where perturbations are merely added on initial frames of tracking sequences, which is difficult to be noticed from the perspective of a whole video clip.

Adversarial Attack Miscellaneous +3

Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature

1 code implementation • 15 Jun 2022 • Alma Rahat, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger, Kaisa Miettinen

Using the predictive densities, we can compute the expected hypervolume improvement (EHVI) due to a solution.

How Bayesian Should Bayesian Optimisation Be?

1 code implementation • 3 May 2021 • George De Ath, Richard Everson, Jonathan Fieldsend

FBBO using EI with an ARD kernel leads to the best performance in the noise-free setting, with much less difference between combinations of BO components when the noise is increased.

Bayesian Optimisation Gaussian Processes