65 citations · 100 across the 7 of their papers we have counts for
10 papers
Equivariant Filter Design for Acoustic and Depth Aided Inertial Navigation Systems
Arihant Lunawat, Pieter van Goor, Frank Dellaert +1
Autonomous Underwater Vehicles (AUVs) navigating without GPS typically fuse inertial measurements with acoustic Doppler Velocity Log (DVL) velocities and pressure-derived depth. Po…
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage
Ziting Wen, Oscar Pizarro, Stefan Williams
High annotation cost for training machine learning classifiers has driven extensive research in active learning and self-supervised learning. Recent research has shown that in the…
Active Self-Semi-Supervised Learning for Few Labeled Samples
Ziting Wen, Oscar Pizarro, Stefan Williams
Training deep models with limited annotations poses a significant challenge when applied to diverse practical domains. Employing semi-supervised learning alongside the self-supervi…
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams +2
This paper describes Georeference Contrastive Learning of visual Representation (GeoCLR) for efficient training of deep-learning Convolutional Neural Networks (CNNs). The method le…
Feature Space Exploration For Planning Initial Benthic AUV Surveys
Jackson Shields, Oscar Pizarro, Stefan B. Williams
Special-purpose Autonomous Underwater Vehicles (AUVs) are utilised for benthic (seafloor) surveys, where the vehicle collects optical imagery of the seafloor. Due to the small-sens…
Towards Adaptive Benthic Habitat Mapping
Jackson Shields, Oscar Pizarro, Stefan B. Williams
Autonomous Underwater Vehicles (AUVs) are increasingly being used to support scientific research and monitoring studies. One such application is in benthic habitat mapping where th…