Journal
/
Ingenieurwesen
/
Enhanced Precision in Salient Object Detection Using Deep Neural Networks
/
Implementation of the DCL Algorithm Using Pre-Trained VGG16 Model for Salient Object Detection in Complex Environments
JoVE Journal
Ingenieurwesen
Zum Anzeigen dieser Inhalte ist ein JoVE-Abonnement erforderlich.  Melden Sie sich an oder starten Sie Ihre kostenlose Testversion.
JoVE Journal Ingenieurwesen
Implementation of the DCL Algorithm Using Pre-Trained VGG16 Model for Salient Object Detection in Complex Environments

Implementation of the DCL Algorithm Using Pre-Trained VGG16 Model for Salient Object Detection in Complex Environments

Enhanced Precision in Salient Object Detection Using Deep Neural Networks

DOI:
10.3791/201074-v

•

02:16 min

•

December 15, 2023

•

,
1Zhengzhou University of Economics and Business, 2The 713 Research Institute of CSSC

Tags

– DCL Algorithm- Salient Object Detection- VGG16 Model- Pre-trained Model- Pseudo Code- Image Dataset- Training And Validation Sets- Loss Function- Hyperparameters- Optimizer- Conditional Random Field- GUI Interface- Image Detection- F-beta Score- E-MAE- DEDN Structure

Embed

ZUR WIEDERGABELISTE HINZUFÜGEN

Usage Statistics

Verwandte Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Implementation of the DCL Algorithm Using Pre-Trained VGG16 Model for Salient Object Detection in Complex Environments

Read Article