From 7863e4826dea303256f3431270a23a4cf8c495b8 Mon Sep 17 00:00:00 2001 From: Nathan Jacobs Date: Mon, 11 Aug 2025 09:28:59 -0500 Subject: [PATCH] Update README.md --- README.md | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 565ff1b..b805ad7 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,7 @@ -Crossnet, a cross-view supervised learning solution +Predicting Ground-Level Scene Layout from Aerial Imagery ======== -This code is a tensorflow implementation of this paper, [Predicting Ground-Level Scene Layout from Aerial Imagery](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhai_Predicting_Ground-Level_Scene_CVPR_2017_paper.pdf). - -And you are welcome to visit our [Project Page](http://cs.uky.edu/~ted/research/crossview/) +This code is a TensorFlow implementation of this CVPR 2017 paper: [Predicting Ground-Level Scene Layout from Aerial Imagery](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhai_Predicting_Ground-Level_Scene_CVPR_2017_paper.pdf). Dependencies ------------ @@ -22,9 +20,5 @@ $ python main.py --is_training=False ``` Data ------------ -This repo only contains some example data for training, the whole dataset can be found in [this link](https://drive.google.com/open?id=0BzvmHzyo_zCAX3I4VG1mWnhmcGc). -You would have to edit the dataset path in main.py in order to use it. +This repository only contains example data for training; the full dataset can be requested from [this link]([https://drive.google.com/open?id=0BzvmHzyo_zCAX3I4VG1mWnhmcGc](https://mvrl.cse.wustl.edu/datasets/cvusa/). You would have to edit the dataset path in main.py in order to use it. -Note ------------- -We plan to release evaluation code soon.