This repository implements the paper "Text-Guided Neural Image Inpainting" by Lisai Zhang, Qingcai Chen, Baotian Hu and Shuoran Jiang. Given one masked image, the proposedTDANetgenerates diverse plausible results according to guidance text.
Four sets of data were used in this paper, as shown inFigure 1. The first set is the global xView2 building damage assessment dataset [23]. The dataset contains multiple types of disasters that occurred in North America, Asia, and Australia between 2011 and 2019. The locations of disasters...
In order to improve the efficiency of building damage information discovery and obtain an accurate damage area coverage map with the support of a small number of samples, this paper proposes a new transfer-learning deep attention network (TDA-Net). TDA-Net uses a pretrained residual network as ...