相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Image Matching from Handcrafted to Deep Features: A Survey
Jiayi Ma et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh et al.
METHODS IN ECOLOGY AND EVOLUTION (2021)
Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
J. Christopher D. Terry et al.
METHODS IN ECOLOGY AND EVOLUTION (2020)
Is There Anything New to Say About SIFT Matching?
Fabio Bellavia et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
A study on giant panda recognition based on images of a large proportion of captive pandas
Peng Chen et al.
ECOLOGY AND EVOLUTION (2020)
Deep learning-based methods for individual recognition in small birds
Andre C. Ferreira et al.
METHODS IN ECOLOGY AND EVOLUTION (2020)
Applying deep learning to right whale photo identification
Robert Bogucki et al.
CONSERVATION BIOLOGY (2019)
A SIFT-based software system for the photo-identification of the Risso's dolphin
V. Reno et al.
ECOLOGICAL INFORMATICS (2019)
An automated program to find animals and crop photographs for individual recognition
Patrick Buehler et al.
ECOLOGICAL INFORMATICS (2019)
Deep learning-based methods for person re-identification: A comprehensive review
Di Wu et al.
NEUROCOMPUTING (2019)
Uncovering Ecological Patterns with Convolutional Neural Networks
Philip G. Brodrick et al.
TRENDS IN ECOLOGY & EVOLUTION (2019)
Applications for deep learning in ecology
Sylvain Christin et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
Chimpanzee face recognition from videos in the wild using deep learning
Daniel Schofield et al.
SCIENCE ADVANCES (2019)
Deep learning for environmental conservation
Aakash Lamba et al.
CURRENT BIOLOGY (2019)
Past, present and future approaches using computer vision for animal re-identification from camera trap data
Stefan Schneider et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
Identifying animal species in camera trap images using deep learning and citizen science
Marco Willi et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
A computer vision for animal ecology
Ben G. Weinstein
JOURNAL OF ANIMAL ECOLOGY (2018)
Towards on-farm pig face recognition using convolutional neural networks
Mark E. Hansen et al.
COMPUTERS IN INDUSTRY (2018)
Structural absorption by barbule microstructures of super black bird of paradise feathers
Dakota E. McCoy et al.
NATURE COMMUNICATIONS (2018)
Deep Learning Object Detection Methods for Ecological Camera Trap Data
Stefan Schneider et al.
2018 15TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV) (2018)
Long-term field studies of mammals: what the short-term study cannot tell us
Loren D. Hayes et al.
JOURNAL OF MAMMALOGY (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Explosive percolation in thresholded networks
Satoru Hayasaka
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2016)
APHIS: A new software for photo-matching in ecological studies
Oscar Moya et al.
ECOLOGICAL INFORMATICS (2015)
Applying computer-aided photo-identification to messy datasets: a case study of Thornicroft's giraffe (Giraffa camelopardalis thornicrofti)
Kelly M. Halloran et al.
AFRICAN JOURNAL OF ECOLOGY (2015)
A computer-assisted system for photographic mark-recapture analysis
Douglas T. Bolger et al.
METHODS IN ECOLOGY AND EVOLUTION (2012)
Community detection in graphs
Santo Fortunato
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2010)
Individuals and populations: the role of long-term, individual-based studies of animals in ecology and evolutionary biology
Tim Clutton-Brock et al.
TRENDS IN ECOLOGY & EVOLUTION (2010)
Seasonal density estimates of common large herbivores in Hwange National Park, Zimbabwe
Simon Chamaille-Jammes et al.
AFRICAN JOURNAL OF ECOLOGY (2009)
Explosive Percolation in Random Networks
Dimitris Achlioptas et al.
SCIENCE (2009)
Maps of random walks on complex networks reveal community structure
Martin Rosvall et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)