Summarise and identify large imagery dataset using latent representation
- Self-supervised learning and clustering application to enable compact dataset summarisation.
- Capturing both visual and spatial features from geo-referenced sonar imagery using location-guided auto-encoders.
- Insight into the challenges of feature learning and clustering for seafloor imagery dominated by homogeneous sand textures, where limited visual diversity leads to overlapping feature representations.
