引用次数
引用: 4,981
H-指数: 16
I10-指数 : 18
出版物: 38
Training machines to improve species identification using GBIF-mediated datasets
S. Belongie , P. Perona , T. Robertson , Y. Liu
AGU Fall Meeting 2019 2019
2019
Active learning-based species range estimation
Christian Lange , Elijah Cole , Grant Horn , Oisin Mac Aodha
Advances in Neural Information Processing Systems 36
1
2024
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Serge J. Belongie , Grant Van Horn , Pietro Perona , Steve Branson
arXiv: Computer Vision and Pattern Recognition
588
2014
The Devil is in the Tails: Fine-grained Classification in the Wild.
Grant Van Horn , Pietro Perona
arXiv: Computer Vision and Pattern Recognition
131
2017
Benchmarking Representation Learning for Natural World Image Collections.
Serge J. Belongie , Oisin Mac Aodha , Grant Van Horn , Elijah Cole
arXiv: Computer Vision and Pattern Recognition
1
2021
The Ignorant Led by the Blind: A Hybrid Human---Machine Vision System for Fine-Grained Categorization
Steve Branson , Grant Van Horn , Catherine Wah , Pietro Perona
International Journal of Computer Vision 108 ( 1) 3 -29
56
2014
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets.
Steve Branson , Grant Van Horn , Pietro Perona , Serge Belongie
british machine vision conference
111
2014
Lean Crowdsourcing: Combining Humans and Machines in an Online System
Steve Branson , Grant Van Horn , Pietro Perona
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 6109 -6118
25
2017
Lean Multiclass Crowdsourcing
Grant Van Horn , Steve Branson , Scott Loarie , Serge Belongie
computer vision and pattern recognition 2714 -2723
12
2018
The iNaturalist Species Classification and Detection Dataset
Grant Van Horn , Oisin Mac Aodha , Yang Song , Yin Cui
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 8769 -8778
616
2018
Training Machines to Identify Species using GBIF-mediated Datasets
Tim Robertson , Serge Belongie , Hartwig Adam , Christine Kaeser-Chen
Biodiversity Information Science and Standards 3
2
2019
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
Grant Van Horn , Steve Branson , Ryan Farrell , Scott Haber
computer vision and pattern recognition 595 -604
176
2015
Similarity Comparisons for Interactive Fine-Grained Categorization
Catherine Wah , Grant Van Horn , Steve Branson , Subhransu Maji
computer vision and pattern recognition 859 -866
70
2014
The iNaturalist Species Classification and Detection Dataset-Supplementary Material
Grant Van Horn , Oisin Mac Aodha , Yang Song , Yin Cui
Reptilia 32 ( 400) 1 -3
5
2017
Perspectives in machine learning for wildlife conservation
Devis Tuia , Benjamin Kellenberger , Sara Beery , Blair R Costelloe
Nature communications 13 ( 1) 792
92
2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
Justin Kay , Peter Kulits , Suzanne Stathatos , Siqi Deng
Smpte Journal 290 -311
2
2022
Spatial implicit neural representations for global-scale species mapping
Elijah Cole , Grant Van Horn , Christian Lange , Alexander Shepard
International conference on machine learning 6320 -6342
7
2023
Global-Scale Species Mapping From Crowdsourced Data
Elijah Cole , Grant Van Horn , Alexander Shepard , Patrick Leary
2022
Tropel: Crowdsourcing detectors with minimal training
Genevieve Patterson , Grant Van Horn , Serge Belongie , Pietro Perona
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 150 -159
32
2015
The iwildcam 2018 challenge dataset
Sara Beery , Grant Van Horn , Oisin Mac Aodha , Pietro Perona
arXiv preprint arXiv:1904.05986
37
2019