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cs.CV2026
Implicit Data Synthesis for Contrastive Unsupervised Data Augmentation
Patrick Kage, Trevor Hedges, N. Siddharth +1
Scientific observations generate large quantities of unlabeled data which is laborious to hand-label, making unsupervised learning techniques valuable for processing datasets. Amon…
cs.CV2026
Multi-modal, multi-scale representation learning for satellite imagery analysis just needs a good ALiBi
Patrick Kage, Pavlos Andreadis
Vision foundation models have been shown to be effective at processing satellite imagery into representations fit for downstream tasks, however, creating models which operate over…