☆ 4.7 Article

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

ADVANCED ENGINEERING INFORMATICS (2023)

Rate this paper

The primary rating indicates the level of overall quality for the paper. Secondary ratings independently reflect strengths or weaknesses of the paper.

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

Rate this paper

Discover Peeref hubs

Create your own webinar

Export Citation

Share Paper