Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

The wide use and availability of machine learning and computer vision techniques allows
developing relatively complex monitoring systems in multiple domains. Besides the …

Entomologists have widely applied re-identification techniques to better understand insects
and their interaction with the environment. While humans can re-identify other humans and …

In the face of the global concern about climate change and endangered ecosystems,
monitoring individual animals is of paramount importance. Computer vision methods for …

Animal re-identification is fundamental in the ecology and ethology community for
understanding the Earth's ecosystems. Due to the uncertainty of photographing animals in …

The problem of bee poisoning causes significant losses to the beekeeping sector every
year. One cause of bee poisoning is spraying before the end of the foraging activity of bees …

In this paper, we show that paint markings are a feasible approach to automatize the
analysis of behavioral assays involving honey bees in the field where marking has to be as …

Mainstream semi-supervised classification assumes that part of the available data are
labelled. Here we assume that, in addition to the labels, we have pairwise constraints on the …

The chicken is the world's most farmed animal. In this work, we introduce the Chicks4FreeID
dataset, the first publicly available dataset focused on the reidentification of individual …

Accurately identifying individual wildlife is critical to effective species management and
conservation efforts. However, it becomes particularly challenging when distinctive features …