Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Next-generation camera trapping: systematic review of historic trends suggests keys to expanded research applications in ecology and conservation
ZJ Delisle, EA Flaherty, MR Nobbe… - Frontiers in Ecology …, 2021 - frontiersin.org
Camera trapping is an effective non-invasive method for collecting data on wildlife species
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
Large-scale long-tailed recognition in an open world
Real world data often have a long-tailed and open-ended distribution. A practical
recognition system must classify among majority and minority classes, generalize from a few …
recognition system must classify among majority and minority classes, generalize from a few …
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 …
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Satellites allow large‐scale surveys to be conducted in short time periods with repeat
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears
M Clapham, E Miller, M Nguyen… - Ecology and …, 2020 - Wiley Online Library
Emerging technologies support a new era of applied wildlife research, generating data on
scales from individuals to populations. Computer vision methods can process large datasets …
scales from individuals to populations. Computer vision methods can process large datasets …
Animal detection and classification from camera trap images using different mainstream object detection architectures
Simple Summary The imagery captured by cameras provides important information for
wildlife research and conservation. Deep learning technology can assist ecologists in …
wildlife research and conservation. Deep learning technology can assist ecologists in …
Individual identification and photographic techniques in mammalian ecological and behavioural research—Part 1: Methods and concepts
Individual identification and photographic techniques in mammalian ecological and behavioural
research—Part 1: Methods and concepts | SpringerLink Skip to main content Advertisement …
research—Part 1: Methods and concepts | SpringerLink Skip to main content Advertisement …
[HTML][HTML] An IoT system using deep learning to classify camera trap images on the edge
Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
The accurate identification of species in images submitted by citizen scientists is currently a
bottleneck for many data uses. Machine learning tools offer the potential to provide rapid …
bottleneck for many data uses. Machine learning tools offer the potential to provide rapid …