A Deep Learning Approach Based on Image Patch Sets for Art Forgery Detection.
Soonchul JungJae Woo KimJin-Seo KimYoon-Seok ChoiPublished in: ICTC (2023)
Keyphrases
- deep learning
- image patches
- forgery detection
- digital images
- natural images
- low resolution
- unsupervised learning
- machine learning
- jpeg compression
- sparse coding
- test images
- super resolution
- feature vectors
- sparse representation
- computational complexity
- mental models
- linear combination
- weakly supervised
- noisy images
- face images
- higher order
- image segmentation