An experimental investigation of MobileNet SSD on fabric defect detection
Fabric defect detection plays a crucial role in ensuring product quality in textile manufacturing. This study presents an investigation into improving fabric defect detection using MobileNetV2 SSD as the baseline model and exploring various existing methods to further enhance performance. The pro...
Saved in:
Main Author: | Zhou, Wei |
---|---|
Other Authors: | Zheng Jianmin |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175198 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
MobileNet-SSD for surface detection
by: Wang, Weiyi
Published: (2023) -
Enhancing MobileNet for efficient deepfake detection: a hybrid approach with GhostNet and ShuffleNet
by: Lee, Zheng Xuan
Published: (2024) -
Deep learning for fabric defect detection
by: Nangia, Saniya
Published: (2024) -
FABRIC DEFECT DETECTION WITH DATA-DRIVEN MODELS
by: ZHANG CHEN
Published: (2022) -
Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity
by: Hung, Tzu-Yi, et al.
Published: (2017)