2 citations · 3 across the 8 of their papers we have counts for
3 papers · 1 filter
Multi-Scale and Multimodal Species Distribution Modeling
Nina van Tiel, Robin Zbinden, Emanuele Dalsasso +3
Species distribution models (SDMs) aim to predict the distribution of species by relating occurrence data with environmental variables. Recent applications of deep learning to SDMs…
POLO -- Point-based, multi-class animal detection
Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger +1
Automated wildlife surveys based on drone imagery and object detection technology are a powerful and increasingly popular tool in conservation biology. Most detectors require train…
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta, Emanuele Dalsasso, Diego Marcos +1
Prototypical part learning is emerging as a promising approach for making semantic segmentation interpretable. The model selects real patches seen during training as prototypes and…