Leveraging Data Efficient Image Transformer (DeIT) for Road Crack Detection and Classification-Reference-Cited by-同舟云学术

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Leveraging Data Efficient Image Transformer (DeIT) for Road Crack Detection and Classification

Published:2024-03-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)
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Author:

Anzum Humaira¹,Sammo Md. Nabil Sadd²,Akhter Shamim¹

Affiliation:

1. Ahsanullah University of Science and Technology,AISIP Laboratory,Department of Computer Science and Engineering,Dhaka,Bangladesh,1208

2. Ahsanullah University of Science and Technology, Bangladesh University of Engineering and Technology,AISIP Laboratory,Department of Computer Science and Engineering,Dhaka,Bangladesh,1000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499437/10499447/10499539.pdf?arnumber=10499539

Reference20 articles.

1. Road damage detection algorithm for improved YOLOv5

2. ROAD: Robotics-Assisted Onsite Data Collection and Deep Learning Enabled Robotic Vision System for Identification of Cracks on Diverse Surfaces

3. Road crack detection using deep convolutional neural network

4. A Novel LBP Based Methods for Pavement Crack Detection

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