Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow

2024-04-30 08:28:49

为什么要做这个研究？

Since no existing approaches have explored the joint learning aspect of these two tasks, in this work, we propose a STacked Conditional Generative Adversarial Network (ST-CGAN) framework and aim to tackle shadow detection and shadow removal problems simultaneously in an end-to-end fashion.

因为没有人做过阴影去除和阴影检测多任务联合学习。

三、本文解决什么问题

使用堆叠条件生成对抗网络（STacked Conditional Generative Adversarial Network）完成阴影检测和阴影去除两个任务。

原文来源：（侵删！）

ST-CGAN：Shadow Detection and Shadow Removal - 知乎一、ready论文： Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal 论文下载： http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Sta…https://zhuanlan.zhihu.com/p/261011185

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