Journals
Publish with us
Publishing partnerships
About us
Blog
Scientific Programming
Journal overview
For authors
For reviewers
For editors
Table of Contents
Special Issues
Scientific Programming
/
2021
/
Article
/
Tab 2
/
Research Article
CPGAN : An Efficient Architecture Designing for Text-to-Image Generative Adversarial Networks Based on Canonical Polyadic Decomposition
Table 2
Comparison between our model and the original model.
Model
Oxford-102
CUB
Flops
#Parameters
FID
IS
FID
IS
Original
79.55
2.66 ± 0.03
68.79
2.88 ± 0.04
Redesigned
74.40
3.68 ± 0.08
65.94
5.03 ± 0.07