Lightweight Tunnel Defect Detection Algorithm Based on Knowledge Distillation
One of the greatest engineering feats in history is the construction of tunnels, and the management of tunnel safety depends heavily on the detection of tunnel defects. However, the real-time, portability, and accuracy issues with the present tunnel defect detection technique still exist. The study...
Main Authors: | Anfu Zhu, Bin Wang, Jiaxiao Xie, Congxiao Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/15/3222 |
Similar Items
-
Defect Detection Method Based on Knowledge Distillation
by: Qunying Zhou, et al.
Published: (2023-01-01) -
Reverse Knowledge Distillation with Two Teachers for Industrial Defect Detection
by: Mingjing Pei, et al.
Published: (2023-03-01) -
MFF-YOLO: An Accurate Model for Detecting Tunnel Defects Based on Multi-Scale Feature Fusion
by: Anfu Zhu, et al.
Published: (2023-07-01) -
A New Knowledge-Distillation-Based Method for Detecting Conveyor Belt Defects
by: Qi Yang, et al.
Published: (2022-10-01) -
Lightweight Underwater Target Detection Algorithm Based on Dynamic Sampling Transformer and Knowledge-Distillation Optimization
by: Liang Chen, et al.
Published: (2023-02-01)