14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
Aiden Durrant, Georgios Leontidis
Hyperbolic manifolds for visual representation learning allow for effective learning of semantic class hierarchies by naturally embedding tree-like structures with low distortion w…
cs.CV2023
Vanishing Activations: A Symptom of Deep Capsule Networks
Miles Everett, Mingjun Zhong, Georgios Leontidis
Capsule Networks, an extension to Neural Networks utilizing vector or matrix representations instead of scalars, were initially developed to create a dynamic parse tree where visua…
cs.CV2023★ 14 cited
Deep learning universal crater detection using Segment Anything Model (SAM)
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam +1
Craters are amongst the most important morphological features in planetary exploration. To that extent, detecting, mapping and counting craters is a mainstream process in planetary…