Disentangled image representation: from affine transforms to facial attributes
Deep learning has shown unprecedented performance on computer vision tasks in recent years. One of the foundations of deep learning is the large datasets with human annotations. However, the datasets with human annotations are born with natural drawbacks. First, the cost of human annotations is e...
Saved in:
Main Author: | Liu, Letao |
---|---|
Other Authors: | Jiang Xudong |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166053 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
EAD-GAN: a generative adversarial network for disentangling affine transforms in images
by: Liu, Letao, et al.
Published: (2023) -
Recurrent affine transform encoder for image representation
by: Liu, Letao, et al.
Published: (2023) -
Facial age estimation
by: Chew, Darren Kim Chuan
Published: (2022) -
Identifying different facial expressions from Kinect
by: Zhang, Liquan
Published: (2015) -
Digital image watermarking based on fractal transform
by: Ni, Zhicheng.
Published: (2008)