A survey of deep active learning
P Ren, Y **—the use of
remotely triggered cameras to photograph wildlife—is becoming an increasingly common …
remotely triggered cameras to photograph wildlife—is becoming an increasingly common …
A deep active learning system for species identification and counting in camera trap images
A typical camera trap survey may produce millions of images that require slow, expensive
manual review. Consequently, critical conservation questions may be answered too slowly …
manual review. Consequently, critical conservation questions may be answered too slowly …
An animal detection pipeline for identification
This paper proposes a 5-component detection pipeline for use in a computer vision-based
animal recognition system. The end result of our proposed pipeline is a collection of novel …
animal recognition system. The end result of our proposed pipeline is a collection of novel …
Wildbook: Crowdsourcing, computer vision, and data science for conservation
TY Berger-Wolf, DI Rubenstein, CV Stewart… - ar** projects
Camera trap** is increasingly becoming an important tool in ecological research.
However, the organization of large collections of multimedia files and especially efficient …
However, the organization of large collections of multimedia files and especially efficient …
[PDF][PDF] Animal population censusing at scale with citizen science and photographic identification
Population censusing is critical to monitoring the health of an animal population. A census
results in a population size estimate, which is a fundamental metric for deciding the …
results in a population size estimate, which is a fundamental metric for deciding the …
Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive V irginia rail
Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet
often produce low resolution assignments. Incorporating prior knowledge of abundance …
often produce low resolution assignments. Incorporating prior knowledge of abundance …
Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches
A core goal of the National Ecological Observatory Network (NEON) is to measure changes
in biodiversity across the 30‐yr horizon of the network. In contrast to NEON's extensive use …
in biodiversity across the 30‐yr horizon of the network. In contrast to NEON's extensive use …