1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions
Martin Tran, Jordan Shipard, Hermawan Mulyono +2
High-quality training data is essential for enhancing the robustness of object detection models. Within the maritime domain, obtaining a diverse real image dataset is particularly…
cs.LG2022★ 1 cited
Does Interference Exist When Training a Once-For-All Network?
Jordan Shipard, Arnold Wiliem, Clinton Fookes
The Once-For-All (OFA) method offers an excellent pathway to deploy a trained neural network model into multiple target platforms by utilising the supernet-subnet architecture. Onc…