Recent advancements in deep learning have profoundly impacted the field of animal
behavioral research, offering researchers powerful tools for understanding the complexities …

Automated animal face identification plays a crucial role in the monitoring of behaviors,
conducting of surveys, and finding of lost animals. Despite the advancements in human face …

Large, well described gaps exist in both what we know and what we need to know to
address the biodiversity crisis. Artificial intelligence (AI) offers new potential for filling these …

We propose a new method-WildFusion-for individual identification of a broad range of
animal species. The method fuses deep scores (eg, MegaDescriptor or DINOv2) and local …

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 …

Reliable and accurate individual data is crucial for the conservation and recovery of
endangered Amur tigers. With the growing volume of data accumulated from camera traps in …

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 …

We propose a method that robustly exploits background and foreground in visual
identification of individual animals. Experiments show that their automatic separation, made …

Computer vision-based re-identification (Re-ID) systems are increasingly being deployed for
estimating population size in large image collections. However, the estimated size can be …

Animal Photo-identification (photo-ID) denotes the process of identifying individual animals
based on their unique and stable morphological characteristics. It has been proven to be a …