Sara Beery
Sara Beery
Assistant Professor at MIT CSAIL
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...
International conference on machine learning, 5637-5664, 2021
Recognition in terra incognita
S Beery, G Van Horn, P Perona
Proceedings of the European conference on computer vision (ECCV), 456-473, 2018
Perspectives in machine learning for wildlife conservation
D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ...
Nature communications 13 (1), 1-15, 2022
A deep active learning system for species identification and counting in camera trap images
MS Norouzzadeh, D Morris, S Beery, N Joshi, N Jojic, J Clune
Methods in ecology and evolution 12 (1), 150-161, 2021
Efficient pipeline for camera trap image review
S Beery, D Morris, S Yang
arXiv preprint arXiv:1907.06772, 2019
The iwildcam 2021 competition dataset
S Beery, A Agarwal, E Cole, V Birodkar
arXiv preprint arXiv:2105.03494, 2021
Context r-cnn: Long term temporal context for per-camera object detection
S Beery, G Wu, V Rathod, R Votel, J Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Benchmarking representation learning for natural world image collections
G Van Horn, E Cole, S Beery, K Wilber, S Belongie, O Mac Aodha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Synthetic examples improve generalization for rare classes
S Beery, Y Liu, D Morris, J Piavis, A Kapoor, N Joshi, M Meister, P Perona
Proceedings of the ieee/cvf winter conference on applications of computer …, 2020
Extending the wilds benchmark for unsupervised adaptation
S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ...
arXiv preprint arXiv:2112.05090, 2021
Species distribution modeling for machine learning practitioners: A review
S Beery, E Cole, J Parker, P Perona, K Winner
Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021
The iWildcam 2019 Challenge Dataset
S Beery, D Morris, P Perona
arXiv preprint arXiv:1907.07617, 4, 2019
Finding areas of motion in camera trap images
A Miguel, S Beery, E Flores, L Klemesrud, R Bayrakcismith
2016 IEEE international conference on image processing (ICIP), 1334-1338, 2016
The auto arborist dataset: a large-scale benchmark for multiview urban forest monitoring under domain shift
S Beery, G Wu, T Edwards, F Pavetic, B Majewski, S Mukherjee, S Chan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
ElephantBook: A semi-automated human-in-the-loop system for elephant re-identification
P Kulits, J Wall, A Bedetti, M Henley, S Beery
Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021
The Caltech Fish Counting dataset: a benchmark for multiple-object tracking and counting
J Kay, P Kulits, S Stathatos, S Deng, E Young, S Beery, G Van Horn, ...
European Conference on Computer Vision, 290-311, 2022
Domain adaptation for rare classes augmented with synthetic samples
T Das, RJ Bruintjes, A Lengyel, J van Gemert, S Beery
arXiv preprint arXiv:2110.12216, 2021
Scaling biodiversity monitoring for the data age
S Beery
XRDS: Crossroads, The ACM Magazine for Students 27 (4), 14-18, 2021
Training machines to identify species using GBIF-mediated datasets
T Robertson, S Belongie, A Hartwig, C Kaeser-Chen, C Zhang, KC Tan, ...
Biodiversity Information Science and Standards, 2019
Automated salmonid counting in sonar data
P Kulits, A Pan, SM Beery, E Young, P Perona, G Van Horn, TU Caltech
NeurIPS 2020 Workshop on tackling climate change with machine learning, 2020
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