14 citations · 17 across the 4 of their papers we have counts for
4 papers
Detecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning
Heather Doig, Oscar Pizarro, Jacquomo Monk +1
One use of Autonomous Underwater Vehicles (AUVs) is the monitoring of habitats associated with threatened, endangered and protected marine species, such as the handfish of Tasmania…
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen, Oscar Pizarro, Stefan Williams
Fine-tuning the pre-trained model with active learning holds promise for reducing annotation costs. However, this combination introduces significant computational costs, particular…
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…