2022 IEEE World AI IoT Congress (AIIoT) 2022
DOI: 10.1109/aiiot54504.2022.9817355
|View full text |Cite
|
Sign up to set email alerts
|

Ship Deck Segmentation In Engineering Document Using Generative Adversarial Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 16 publications
0
0
0
Order By: Relevance
“…The discriminator is trained on real data and randomly generated data. The goal of the discriminator is to determine whether data is real or generated [28]. This is performed by using a datapoint X i as an input and then processing it through the network consisting of multiple convolutional layers.…”
Section: Synthetic Data Generationmentioning
confidence: 99%
“…The discriminator is trained on real data and randomly generated data. The goal of the discriminator is to determine whether data is real or generated [28]. This is performed by using a datapoint X i as an input and then processing it through the network consisting of multiple convolutional layers.…”
Section: Synthetic Data Generationmentioning
confidence: 99%