DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning

Perspectives in machine learning for wildlife conservation

(2022) Devis Tuia et al.   Nature Communications

A systematic study of the class imbalance problem: Automatically identifying empty camera trap images using convolutional neural networks

(2021) Deng-Qi Yang et al.   Ecological Informatics

Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned features

(2021) Manuel Vargas-Felipe et al.   Ecological Informatics

Automated cattle counting using Mask R-CNN in quadcopter vision system

(2020) Beibei Xu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

(2020) Saleh Shahinfar et al.   Ecological Informatics

Deep learning‐based methods for individual recognition in small birds

(2020) André C. Ferreira et al.   Methods in Ecology and Evolution

A deep active learning system for species identification and counting in camera trap images

(2020) Mohammad Sadegh Norouzzadeh et al.   Methods in Ecology and Evolution

Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images

(2019) Hayder Yousif et al.   Ecology and Evolution

Automatic Individual Pig Detection and Tracking in Pig Farms

(2019) Lei Zhang et al.   SENSORS

Wildlife surveillance using deep learning methods

(2019) Ruilong Chen et al.   Ecology and Evolution

Zilong: A tool to identify empty images in camera-trap data

(2019) Weideng Wei et al.   Ecological Informatics

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

(2018) Benjamin Kellenberger et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning for image based species identification

(2018) Jana Wäldchen et al.   Methods in Ecology and Evolution

Identifying animal species in camera trap images using deep learning and citizen science

(2018) Marco Willi et al.   Methods in Ecology and Evolution

Camera-trap images segmentation using multi-layer robust principal component analysis

(2017) Jhony-Heriberto Giraldo-Zuluaga et al.   VISUAL COMPUTER

AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images

(2016) Jennifer L. Price Tack et al.   Ecological Informatics

Deep learning

(2015) Yann LeCun et al.   NATURE