原创 Learning disentangling and fusing networks for face completion under structured occlusions

Li, Zhihang, et al. Learning disentangling and fusing networks for face completion under structured occlusions. Pat

原创 Deep coral: Correlation alignment for deep domain adaptation. ECCV 2016. Domain Adaptation

** Sun, Baochen, and Kate Saenko. “Deep coral: Correlation alignment for deep domain adaptation.” ECCV. Springer, C

原创 Domain Separation Networks (NIPS 2016)

Bousmalis, K., Trigeorgis, G., Silberman, N., Krishnan, D., & Erhan, D. (2016). Domain separation networks. NIPS 20

原创 Unsupervised domain adaptation with residual transfer networks(NIPS 2016)

Long, Mingsheng, et al. “Unsupervised domain adaptation with residual transfer networks.” Advances in Neural Inform

原创 Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Informative Sample Mining Network for Multi-Domain Image-to-Image

原创 Leave-One-Out Cross-Validation

10折交叉驗證(10-fold Cross Validation) 使用這種方法,我們將數據集隨機分成10份,使用其中9份進行訓練而將另外1份用作測試。該過程可以重複10次,每次使用的測試數據不同。 Leave-One-Out C

原创 DR-GAN (CVPR 2017, Disentangled Representation Learning GAN for Pose-Invariant Face Recognition)

點贊 收藏 分享 文章舉報 PoemK 發佈了689 篇原創文章 · 獲贊 75 · 訪問量 34萬+ 他的留言板

原创 Transferrable Prototypical Networks for Unsupervised Domain Adaptation (CVPR 2019)

Transferrable Prototypical Networks for Unsupervised Domain Adaptation 論文: Yingwei Pan, Ting Yao, Yehao Li, Yu Wang

原创 Layer Normalization

論文: Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton. Layer Normalization. arXiv:1607.06450 Batch normalizatio

原创 Progressive Feature Alignment for Unsupervised Domain Adaptation-CVPR2019.md

Progressive Feature Alignment for Unsupervised Domain Adaptation (CVPR2019) 提出了一個逐步特徵對齊網絡 Progressive Feature Align

原创 Face photo recognition using sketch (人臉畫像合成)

paper(原文): Xiaoou Tang, Xiaogang Wang. “Face photo recognition using sketch.” Proceedings. International Conference

原创 SSIM(structural similarity index) ---圖像質量評價指標之結構相似性

Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli. Image Quality Assessment: From Error Visibility

原创 Diversified texture synthesis with feed-forward networks (紋理生成、風格遷移,CVPR2017)

paper: Li, Yijun, et al. “Diversified texture synthesis with feed-forward networks.” IEEE CVPR 2017. 目前的判別和生成模型在紋理合

原创 Universal Style Transfer via Feature Transforms (WCT,風格遷移,NIPS2017)

Li Y, Fang C, Yang J, et al. Universal Style Transfer via Feature Transforms. NIPS 2017 風格遷移的關鍵問題是如何提取有效果的風格特徵並且讓輸入

原创 Adaptive Instance Normalization (AdaIN Normalization) ICCV 2017

paper: Huang, Xun, and Serge Belongie. “Arbitrary style transfer in real-time with adaptive instance normalization.