From aa4853f8f91535682c7af16b1e485b10fe4c8f0a Mon Sep 17 00:00:00 2001 From: Bryan Plummer Date: Mon, 19 Nov 2018 09:37:53 -0500 Subject: [PATCH] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index cf82155..f69f25b 100644 --- a/README.md +++ b/README.md @@ -2,11 +2,11 @@ **cite** contains a Tensorflow implementation for our [paper](https://arxiv.org/abs/1711.08389). If you find this code useful in your research, please consider citing: - @article{plummerCITE2017, + @inproceedings{plummerCITE2018, Author = {Bryan A. Plummer and Paige Kordas and M. Hadi Kiapour and Shuai Zheng and Robinson Piramuthu and Svetlana Lazebnik}, Title = {Conditional Image-Text Embedding Networks}, - Journal = {arXiv:1711.08389}, - Year = {2017} + Booktitle = {ECCV}, + Year = {2018} } This code was tested on an Ubuntu 16.04 system using Tensorflow 1.2.1. @@ -38,4 +38,4 @@ Our best CITE model using these precomputed features can be on Flickr30K Entitie You can download the raw Flickr30K Entities data [here](http://web.engr.illinois.edu/~bplumme2/Flickr30kEntities/) and ReferIt [here](http://tamaraberg.com/referitgame/), but isn't necessary to use our precomputed features. -Many thanks to [Kevin Shih](https://scholar.google.com/citations?user=4x3DhzAAAAAJ&hl=en) and [Liwei Wang](https://scholar.google.com/citations?user=qnbdnZEAAAAJ&hl=en) for access to their [Similarity Network](https://arxiv.org/abs/1704.03470) code that was used as the basis for this implementation. \ No newline at end of file +Many thanks to [Kevin Shih](https://scholar.google.com/citations?user=4x3DhzAAAAAJ&hl=en) and [Liwei Wang](https://scholar.google.com/citations?user=qnbdnZEAAAAJ&hl=en) for providing to their implementation of the [Similarity Network](https://arxiv.org/abs/1704.03470) that was used as the basis for this implementation.