3 papers
cs.CV2026
Computer vision-based estimation of invertebrate biomass
Mikko Impiö, Philipp M. Rehsen, Jarrett Blair +5
The ability to estimate invertebrate biomass using only images could help scaling up quantitative biodiversity monitoring efforts. Computer vision-based methods have the potential…
cs.CV2025
Bridging Domain Gaps for Fine-Grained Moth Classification Through Expert-Informed Adaptation and Foundation Model Priors
Ross J Gardiner, Guillaume Mougeot, Sareh Rowlands +3
Labelling images of Lepidoptera (moths) from automated camera systems is vital for understanding insect declines. However, accurate species identification is challenging due to dom…
cs.CV2020
Automatic image-based identification and biomass estimation of invertebrates
Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen +8
Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessi…