From f74aad3bc97820e112f287c6d6d1168842187546 Mon Sep 17 00:00:00 2001 From: "Sharon Y. Li" Date: Sun, 28 Mar 2021 12:02:45 -0500 Subject: [PATCH] update dataset info --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c3550ae..2a1e6fb 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Energy-based Out-of-distribution Detection (Energy OOD) -This repository is the official implementation of [Energy-based Out-of-distribution Detection](https://arxiv.org/abs/2010.03759) by W. Liu, X. Wang, J. Owens, Y. Li. This method is an effective and easy OOD detector with and without fine-tuning. Our code is modified from [Outlier-Exposure](https://github.com/hendrycks/outlier-exposure). +This repository is the official implementation of [Energy-based Out-of-distribution Detection](https://arxiv.org/abs/2010.03759) by Weitang Liu, Xiaoyun Wang, John Owens and Yixuan Li. This method is an effective and easy OOD detector with and without fine-tuning. Our code is modified from [Outlier-Exposure](https://github.com/hendrycks/outlier-exposure). ![image](https://github.com/wetliu/energy_ood/blob/master/demo_figs/energy-ood.png) @@ -80,8 +80,8 @@ CIFAR-100: ## Outlier Datasets -These experiments make use of numerous outlier datasets. Links for less common datasets are as follows, [80 Million Tiny Images](http://horatio.cs.nyu.edu/mit/tiny/data/tiny_images.bin), [Icons-50](https://github.com/hendrycks/robustness), -[Textures](https://www.robots.ox.ac.uk/~vgg/data/dtd/), [Chars74K](http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/EnglishImg.tgz), and [Places365](http://places2.csail.mit.edu/download.html), [LSUN-C](https://www.dropbox.com/s/fhtsw1m3qxlwj6h/LSUN.tar.gz), [LSUN-R](https://www.dropbox.com/s/moqh2wh8696c3yl/LSUN_resize.tar.gz), [iSUN](https://www.dropbox.com/s/ssz7qxfqae0cca5/iSUN.tar.gz). +These experiments make use of numerous outlier datasets. Links for less common datasets are as follows, [80 Million Tiny Images](http://horatio.cs.nyu.edu/mit/tiny/data/tiny_images.bin) +[Textures](https://www.robots.ox.ac.uk/~vgg/data/dtd/), [Places365](http://places2.csail.mit.edu/download.html), [LSUN-C](https://www.dropbox.com/s/fhtsw1m3qxlwj6h/LSUN.tar.gz), [LSUN-R](https://www.dropbox.com/s/moqh2wh8696c3yl/LSUN_resize.tar.gz), [iSUN](https://www.dropbox.com/s/ssz7qxfqae0cca5/iSUN.tar.gz) and SVHN. ## Citation