JOURNAL ARTICLE

Query-Based Instance Segmentation with Dual Attention Transformer for Autonomous Vehicles

Aya TaourirteLi‐Hong Juang

Year: 2024 Journal:   World Electric Vehicle Journal Vol: 16 (1)Pages: 8-8   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Applications such as autonomous driving demand real-time and high-precision instance segmentation to accurately identify and understand objects in an environment, including pedestrians, vehicles, and traffic signs. Ensuring a balance between accuracy and efficiency in instance segmentation systems is critical for such tasks. Traditional convolutional models face limitations in capturing complex features and global context effectively. To address these challenges, we propose an enhanced QueryInst-based instance segmentation framework. First, we replace the traditional CNN backbone with the DaViT Transformer to extract richer, multi-scale features. Next, we integrate Feature Pyramid Network CARAFE to capture global context and recover missed instances. Finally, we incorporate the Complete IoU (CIoU) loss function to optimize object localization and improve prediction accuracy. Experiments on the Cityscapes and COCO datasets demonstrate that our approach achieves mIoU scores of 46.7% and AP score of 45.5%, representing improvements of 6.1% and 2.6% over the baseline, respectively, outperforming other state-of-the-art methods.

Keywords:
Dual (grammatical number) Transformer Computer science Segmentation Artificial intelligence Automotive engineering Engineering Electrical engineering

Metrics

1
Cited By
0.53
FWCI (Field Weighted Citation Impact)
34
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Machine Learning and Data Classification
Physical Sciences →  Computer Science →  Artificial Intelligence
© 2026 ScienceGate Book Chapters — All rights reserved.