Improving Face Recognition by Integrating Decision Forest into GAN

[1]  Xinbo Gao,et al.  PSGAN: Revisit the binary discriminator and an alternative for face frontalization , 2022, Neurocomputing.

[2]  Y. Byun,et al.  Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation , 2022, Mathematics.

[3]  Yea-Shuan Huang,et al.  2D facial landmark localization method for multi-view face synthesis image using a two-pathway generative adversarial network approach , 2022, PeerJ Comput. Sci..

[4]  F. Khelifi,et al.  Pose-invariant face recognition with multitask cascade networks , 2022, Neural Computing and Applications.

[5]  Duc Manh Nguyen,et al.  HI-GAN: A hierarchical generative adversarial network for blind denoising of real photographs , 2021, Inf. Sci..

[6]  Keren Fu,et al.  Identity-and-pose-guided generative adversarial network for face rotation , 2021, Neurocomputing.

[7]  Xiaoyong Du,et al.  Adaptive Data Augmentation for Supervised Learning over Missing Data , 2021, Proc. VLDB Endow..

[8]  Junhua Chen,et al.  Unsupervised face Frontalization for pose-invariant face recognition , 2020, Image Vis. Comput..

[9]  Mei Xie,et al.  Illumination normalization based on correction of large-scale components for face recognition , 2017, Neurocomputing.

[10]  Dacheng Tao,et al.  Pose-invariant face recognition with homography-based normalization , 2017, Pattern Recognit..

[11]  Takeo Kanade,et al.  Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[12]  Rich Caruana,et al.  An empirical comparison of supervised learning algorithms , 2006, ICML.

[13]  Simon Kasif,et al.  A System for Induction of Oblique Decision Trees , 1994, J. Artif. Intell. Res..