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 …
[HTML][HTML] Beyond observation: Deep learning for animal behavior and ecological conservation
Recent advancements in deep learning have profoundly impacted the field of animal
behavioral research, offering researchers powerful tools for understanding the complexities …
behavioral research, offering researchers powerful tools for understanding the complexities …
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 …
PetFace: A large-scale dataset and benchmark for animal identification
R Shinoda, K Shiohara - European Conference on Computer Vision, 2024 - Springer
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 …
conducting of surveys, and finding of lost animals. Despite the advancements in human face …
Automated face recognition using deep neural networks produces robust primate social networks and sociality measures
Longitudinal video archives of behaviour are crucial for examining how sociality shifts over
the lifespan in wild animals. New approaches adopting computer vision technology hold …
the lifespan in wild animals. New approaches adopting computer vision technology hold …
A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species
Researchers can investigate many aspects of animal ecology through noninvasive photo–
identification. Photo–identification is becoming more efficient as matching individuals …
identification. Photo–identification is becoming more efficient as matching individuals …
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery
Individual identification contributes significantly towards investigating behavioral
mechanisms of animals and understanding underlying ecological principles. Most studies …
mechanisms of animals and understanding underlying ecological principles. Most studies …
A survey on convolutional neural networks and their performance limitations in image recognition tasks
Convolutional neural networks (CNNs) have shown outstanding image classification
performance, having been successfully applied in several real‐world applications. However …
performance, having been successfully applied in several real‐world applications. However …
ElephantBook: A semi-automated human-in-the-loop system for elephant re-identification
African elephants are vital to their ecosystems, but their populations are threatened by a rise
in human-elephant conflict and poaching. Monitoring population dynamics is essential in …
in human-elephant conflict and poaching. Monitoring population dynamics is essential in …
Similarity learning networks for animal individual re-identification: an ecological perspective
The ability for researchers to re-identify animal individuals upon re-encounter is fundamental
for the study of population dynamics, community, and behavioural ecology. Animal re …
for the study of population dynamics, community, and behavioural ecology. Animal re …