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cs.CV2026
SPARC: SuperPixel-Aware Region Contrastive Learning for Self-Supervised Dense Prediction
David Szczecina, Yuanpei Xiang, Jitao Hu +4
Self-supervised learning (SSL) has become an effective approach for learning visual representations without manual annotations. Among SSL approaches, contrastive learning has been…
cs.CV2026
Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images
David Szczecina, Hudson Sun, Anthony Bertnyk +3
Tree canopy detection from aerial imagery is an important task for environmental monitoring, urban planning, and ecosystem analysis. Simulating real-life data annotation scarcity,…