59 citations · 62 across the 8 of their papers we have counts for
3 papers · 1 filter
IBURD: Image Blending for Underwater Robotic Detection
Jungseok Hong, Sakshi Singh, Junaed Sattar
We present an image blending pipeline, \textit{IBURD}, that creates realistic synthetic images to assist in the training of deep detectors for use on underwater autonomous vehicles…
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
Jungseok Hong, Michael Fulton, Junaed Sattar
This paper presents TrashCan, a large dataset comprised of images of underwater trash collected from a variety of sources, annotated both using bounding boxes and segmentation labe…
A Generative Approach Towards Improved Robotic Detection of Marine Litter
Jungseok Hong, Michael Fulton, Junaed Sattar
This paper presents an approach to address data scarcity problems in underwater image datasets for visual detection of marine debris. The proposed approach relies on a two-stage va…