ViT-SAPS: Detail-Aware Transformer for Mechanical Assembly Semantic Segmentation

ViT-SAPS: Detail-Aware Transformer for Mechanical Assembly Semantic Segmentation

Semantic segmentation of mechanical assembly images provides an effective way to monitor the assembly process and improve the product quality. Compared with other deep learning models, Transformer has advantages in modeling global context, and it has been widely applied in various computer vision ta...

Full description

Bibliographic Details
Main Authors: Haitao Dong, Chengjun Chen, Jinlei Wang, Feixiang Shen, Yong Pang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
vision Transformer
mechanical assembly monitoring
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10108991/

Internet

https://ieeexplore.ieee.org/document/10108991/

Similar Items