124 citations · 345 across the 51 of their papers we have counts for
3 papers · 2 filters
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dimity Miller, Lachlan Nicholson, Feras Dayoub +1
Dropout Variational Inference, or Dropout Sampling, has been recently proposed as an approximation technique for Bayesian Deep Learning and evaluated for image classification and r…
Episode-Based Active Learning with Bayesian Neural Networks
Feras Dayoub, Niko Sünderhauf, Peter Corke
We investigate different strategies for active learning with Bayesian deep neural networks. We focus our analysis on scenarios where new, unlabeled data is obtained episodically, s…
Towards Unsupervised Weed Scouting for Agricultural Robotics
David Hall, Feras Dayoub, Jason Kulk +1
Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction h…