Abstract We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …

Camera trap** is increasingly being used to monitor wildlife, but this technology typically
requires extensive data annotation. Recently, deep learning has substantially advanced …

Camera trap** has revolutionized wildlife ecology and conservation by providing
automated data acquisition, leading to the accumulation of massive amounts of camera trap …

Interspecific interactions can influence species' activity and movement patterns. In particular,
species may avoid or attract each other through reactive responses in space and/or time …

As camera trap** grows in popularity and application, some analytical limitations persist
including processing time and accuracy of data annotation. Typically images are recorded …

In light of global biodiversity loss, there is an increasing need for large‐scale wildlife
monitoring. This is difficult for mammals, since they can be elusive and nocturnal. In the …

Accurate information on wildlife occurrence in anthropogenic landscapes is essential to
develop effective conservation measures. Monitoring multiple mammal species in …

Carnivora occupy many ecological niches fundamental to ecosystem functioning. Within this
diverse order, carnivore species compete to establish dominance, ensure survival and …

Camera traps are valuable tools in animal ecology for biodiversity monitoring and
conservation. However, challenges like poor generalization to deployment at new unseen …

This paper describes the search for an alternative approach to the automatic categorization
of camera trap images. First, we benchmark state-of-the-art classifiers using a single model …