Integrating remote sensing and deep learning into aerial survey of large African mammals

Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals

International audience Anthropogenic activities pose threats to wildlife and marine f

Deep learning in remote sensing: a review

Standing at the paradigm shift towards data-intensive science, machine learning techniques are becom

Will artificial intelligence revolutionize aerial surveys? A first large-scale semi-automated survey of African wildlife using oblique imagery and deep learning

Integrating remote sensing and social sensing for flood mapping

Flood events cause substantial damage to infrastructure and disrupt livelihoods. Timely

Deep Self-taught Learning for Remote Sensing Image Classification

This paper addresses the land cover classification task for remote sensing images by deep self-taugh

Models for paper "From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep learning?"

HerdNet architecture parameters (stored in '.pth' files), trained separately on : nadir aerial image