Summarise and Identify Large Imagery Dataset using Latent Representation
Self-supervised learning and clustering application to enable compact dataset summarization.
Capturing both visual and spatial features from georeferenced sonar imagery using location-guided autoencoders.
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.
