In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …

A central goal of animal ecology is to observe species in the natural world. The cost and
challenge of data collection often limit the breadth and scope of ecological study. Ecologists …

It is desirable for detection and classification algorithms to generalize to unfamiliar
environments, but suitable benchmarks for quantitatively studying this phenomenon are not …

Deep learning-based techniques have achieved state-of-the-art performance on a wide
variety of recognition and classification tasks. However, these networks are typically …

Having accurate, detailed, and up-to-date information about the location and behavior of
animals in the wild would improve our ability to study and conserve ecosystems. We …

Motion‐activated cameras (“camera traps”) are increasingly used in ecological and
management studies for remotely observing wildlife and are amongst the most powerful …

Camera traps enable the automatic collection of large quantities of image data. Ecologists
use camera traps to monitor animal populations all over the world. In order to estimate the …

Non-intrusive monitoring of animals in the wild is possible using camera trapping networks.
The cameras are triggered by sensors in order to disturb the animals as little as possible …

Efficient and reliable monitoring of wild animals in their natural habitats is essential to inform
conservation and management decisions. Automatic covert cameras or" camera traps" are …

Deep learning methods for computer vision tasks show promise for automating the data
analysis of camera trap images. Ecological camera traps are a common approach for …