JavaShuo
欄目
標籤
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow
時間 2020-12-23
原文
原文鏈接
文章提出了包含兩個生成網絡,兩個判別網絡的網絡結構,用於去除圖像中的陰影,並還原沒有陰影的真實圖像.網絡機構圖如下, 生成網絡G1用於檢測陰影區域,輸入爲包含陰影的圖像,輸出爲陰影區域圖像.生成網絡G2用於去除陰影,輸入爲包含陰影的圖像和G1生成的二值圖像的,輸出爲去除陰影的圖像.判別網絡D1,D2用於監督這兩個生成過程,直到模型收斂.判別網絡D1的輸入爲,將陰影圖像分別和G1檢測的陰影區域圖像,
>>阅读原文<<
相關文章
1.
FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
2.
Conditional Generative Adversarial Networks(CGAN)筆記
3.
《Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verifi》
4.
《MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and A...
5.
Conditional Generative Adversarial Nets
6.
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
7.
Generative Adversarial Networks for Hyperspectral Image Classification
8.
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
9.
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
10.
Generative Adversarial Network (GAN) papers (2018.2.4 更新)
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
RxJava操作符(七)Conditional and Boolean
•
Java Agent入門實戰(三)-JVM Attach原理與使用
相關標籤/搜索
shadow
shadow dom入UI
networks
stacked
adversarial
generative
conditional
jointly
detection
learning
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
Android Studio3.4中出現某個項目全部亂碼的情況之解決方式
2.
Packet Capture
3.
Android 開發之 仿騰訊視頻全部頻道 RecyclerView 拖拽 + 固定首個
4.
rg.exe佔用cpu導致卡頓解決辦法
5.
X64內核之IA32e模式
6.
DIY(也即Build Your Own) vSAN時,選擇SSD需要注意的事項
7.
選擇深圳網絡推廣外包要注意哪些問題
8.
店鋪運營做好選款、測款的工作需要注意哪些東西?
9.
企業找SEO外包公司需要注意哪幾點
10.
Fluid Mask 摳圖 換背景教程
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
2.
Conditional Generative Adversarial Networks(CGAN)筆記
3.
《Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verifi》
4.
《MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and A...
5.
Conditional Generative Adversarial Nets
6.
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
7.
Generative Adversarial Networks for Hyperspectral Image Classification
8.
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
9.
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
10.
Generative Adversarial Network (GAN) papers (2018.2.4 更新)
>>更多相關文章<<