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Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
[article]
2021
arXiv
pre-print
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To complete the picture, we also investigate cases where the correlation is weaker, for instance some synthetic distribution shifts from CIFAR-10-C and the tissue classification dataset Camelyon17-WILDS ...
out-of-distribution performance on variants of CIFAR-10 & ImageNet, a synthetic pose estimation task derived from YCB objects, satellite imagery classification in FMoW-WILDS, and wildlife classification in iWildCam-WILDS ...
The iWildCam 2020 competition dataset. ...
arXiv:2107.04649v2
fatcat:ty44g72ypvdrzbhehftgpsdrja
Gradient Matching for Domain Generalization
[article]
2021
arXiv
pre-print
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Our method produces competitive results on these datasets and surpasses all baselines on 4 of them. ...
We demonstrate the efficacy of Fish on 6 datasets from the Wilds benchmark, which captures distribution shift across a diverse range of modalities. ...
It outperforms all baseline on 4 datasets and achieves similar level of performance to the best method on the other 2 (AMAZON and IWILDCAM). ...
arXiv:2104.09937v3
fatcat:4obohplqwfd2fmgh7erk4nb4re
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
[article]
2022
arXiv
pre-print
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For example, on iWildCam, one instantiation reduces the estimation error for unsupervised accuracy estimation by at least 70% and improves the F1 score for error detection by at least 4.7% compared to ...
For safe deployment, it is essential to estimate the accuracy of the pre-trained model on the test data. ...
Acknowledgments The authors would like to thank Dr. Ankur Taly for his valuable comments. ...
arXiv:2106.15728v3
fatcat:4pogmew3abakrgsdnsqvoymbb4
Scaling biodiversity monitoring for the data age
2021
XRDS Crossroads The ACM Magazine for Students
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Workshop at KDD 2019, https://sites.google.com/ corp/usc.edu/kdd19-dmaic-workshop/home 4 iWildCam 2021; https://sites.google.com/ view/fgvc8/competitions/iwildcam2021 5 GeoLifeCLEF 2020; https://www.imageclef ...
From the point of view of a wildlife researcher, the plant images are bycatch that they don't have the capacity to label or curate from their existing datasets. ...
doi:10.1145/3466857
fatcat:4mn2tocl6bddrhnldcaa7ovr2q
Improving Baselines in the Wild
[article]
2021
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Our study focuses on two datasets: iWildCam and FMoW. ...
difficult for iWildCam, (3) Minor changes in the training of hyper-parameters improve the baseline by a relatively large margin (mainly on FMoW), (4) There is a strong correlation between certain domains ...
This work was partially supported by computational resources at the CSCS Swiss National Supercomputing Centre, project d115. ...
doi:10.48550/arxiv.2112.15550
fatcat:yvfg3nn77zfdjkpxiduckc5oae
WILDS: A Benchmark of in-the-Wild Distribution Shifts
[article]
2021
arXiv
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Despite their ubiquity in the real-world deployments, these distribution shifts are under-represented in the datasets widely used in the ML community today. ...
Distribution shifts -- where the training distribution differs from the test distribution -- can substantially degrade the accuracy of machine learning (ML) systems deployed in the wild. ...
acknowledge the support of DARPA under Nos. ...
arXiv:2012.07421v3
fatcat:bsohmukpszajxeadeo25oxmbs4
Extending the WILDS Benchmark for Unsupervised Adaptation
[article]
2022
arXiv
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In this work, we present the WILDS 2.0 update, which extends 8 of the 10 datasets in the WILDS benchmark of distribution shifts to include curated unlabeled data that would be realistically obtainable ...
On these datasets, we systematically benchmark state-of-the-art methods that leverage unlabeled data, including domain-invariant, self-training, and self-supervised methods, and show that their success ...
The design of the WILDS benchmark was inspired by the Open Graph Benchmark (Hu et al., 2020b) , and we are grateful to the Open Graph Benchmark team for their advice and help in setting up our benchmark ...
arXiv:2112.05090v2
fatcat:77b2lkj7yvemteazktwxp4lnda
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
[article]
2021
arXiv
pre-print
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A fundamental assumption of most machine learning algorithms is that the training and test data are drawn from the same underlying distribution. ...
In this work, we consider the problem setting of domain generalization, where the training data are structured into domains and there may be multiple test time shifts, corresponding to new domains or domain ...
ARM-BN struggles on FMoW but performs well on the other datasets, in particular RxRx1. iWildCam Camelyon17 RxRx1 FMoW PovertyMap Method Acc Macro F1 Acc Acc WC Acc Avg Acc WC Pearson r Pearson r ERM 71.6 ...
arXiv:2007.02931v4
fatcat:2gjsygbev5cmhdryhrwijvfeju
Conservation Tech Directory
[article]
2021
figshare.com
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out the google form (link below) and we'll add it.https://forms.gle/qb9U8eFrsTWMGvwe6Suggested citation: Batist, C.H. & Ermi G. (2021). ...
Feel free to reach out to them with any questions or suggestions regarding the directory! ...
Open University
Organization
iWildCam
annual Kaggle competition developing models to classify species
and count individual animals across sequences in camera trap
datasets
https://github.com/ ...
doi:10.6084/m9.figshare.15442200.v1
fatcat:psz6udw76nb7rdmp32teechvfi
Conservation Tech Directory
[article]
2021
figshare.com
Preserved Fulltext
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You can reach her on Twitter (@GracieErmie) or LinkedIn.Suggested citation: Batist, C.H. & Ermi G. (2021). Conservation technology directory. ...
But please search the spreadsheet first to make sure the resource you're thinking of isn't already listed. Thanks! ...
org/
The Open University
citizen science
images
video
education
networking
software
Opportunity
iWildCam
annual Kaggle competition developing models to classify species
and count individual ...
doi:10.6084/m9.figshare.15442200.v6
fatcat:rimzpsafq5foxf25n7ucgueh3a
Conservation Tech Directory
[article]
2021
figshare.com
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
You can reach her on Twitter (@GracieErmie) or LinkedIn.Suggested citation: Batist, C.H. & Ermi G. (2021). Conservation technology directory. ...
But please search the spreadsheet first to make sure the resource you're thinking of isn't already listed. Thanks! ...
Open University
citizen science
images
video
education
networking
software
Organization
iWildCam
https://github.com/visipedia
/iwildcam_comp
annual Kaggle competition developing models ...
doi:10.6084/m9.figshare.15442200.v4
fatcat:gzksivxqk5b45li4ltfubqj4fa
Conservation Tech Directory
[article]
2022
figshare.com
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
You can reach her on Twitter (@GracieErmie) or LinkedIn.Suggested citation: Batist, C.H. & Ermi G. (2021). Conservation technology directory. ...
But please search the spreadsheet first to make sure the resource you're thinking of isn't already listed. Thanks! ...
large image, audio, or video datasets using computer vision light competitions annual workshop as part of ICML (2020 webinars recorded & online) term monitoring of biodiversity activity; deploying a prototype ...
doi:10.6084/m9.figshare.15442200.v13
fatcat:qgs2d2chsbdo5hflfzwu3p2rzq
Conservation Tech Directory
[article]
2022
figshare.com
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
You can reach her on Twitter (@GracieErmie) or LinkedIn.Suggested citation: Batist, C.H. & Ermi G. (2021). Conservation technology directory. ...
But please search the spreadsheet first to make sure the resource you're thinking of isn't already listed. Thanks! ...
make things; gives step-by-step instruction guides for thousands of projects, including circuits & electronics; users can post their own guides to add to the platform iWildCam annual Kaggle competition ...
doi:10.6084/m9.figshare.15442200.v12
fatcat:b4bfumzexjec5lh4bdk3q35bia
INTERN: A New Learning Paradigm Towards General Vision
[article]
2021
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We evaluate our model on 26 well-known datasets that cover four categories of tasks in computer vision. ...
Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society. ...
dataset creation. ...
doi:10.48550/arxiv.2111.08687
fatcat:lrjfbzax6jfrnpw4txnivh6cgy