5 papers
When One Modality Is Not Enough: Multimodal Sex and Life-Stage Classification of Red Deer from Aerial RGB-Thermal Video
Hugo Markoff, Christoph Praschl, Ivan Ludoški +3
Aerial drone surveys increasingly support wildlife population estimation, yet a useful census is more than a count: population dynamics are defined by species composition, sex rati…
Oh Deer, How Should I Handle This? Seasonal Priors for Selective Wildlife Annotation and Classification
Hugo Markoff, Christoph Praschl, Anton Hjalte Jørgensen +7
Fine-grained wildlife classification in aerial imagery is limited not only by model performance, but also by unreliable labels: animals occupy few pixels, key visual cues vary seas…
Detection and Measurement of Hailstones with Multimodal Large Language Models
Moritz Alker, David C. Schedl, Andreas Stöckl
This study examines the use of social media and news images to detect and measure hailstones, utilizing pre-trained multimodal large language models. The dataset for this study com…
Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation
Stephanie Wohlfahrt, Christoph Praschl, Horst Leitner +5
We use unmanned aerial drones to estimate wildlife density in southeastern Austria and compare these estimates to camera trap data. Traditional methods like capture-recapture, dist…
The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
Anna Maschek, David C. Schedl
Detecting an athlete's position on a route and identifying hold usage are crucial in various climbing-related applications. However, no climbing dataset with detailed hold usage an…