Few-shot learning for novel object detection in autonomous driving
Artificial intelligence and advanced sensing technologies have significantly advanced the intelligent transportation system and autonomous vehicles. Perception, a critical component, extracts real-time traffic information essential for various system functionalities, such as agent behavior predictio...
Saved in:
| Main Authors: | Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Communications in Transportation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772424725000344 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Meta-YOLOv8: multi-scale few-shot object detection for Chinese medicinal decoction pieces
by: Kai Hu, et al.
Published: (2025-08-01) -
Feature Transformation-Based Few-Shot Class-Incremental Learning
by: Xubo Zhang, et al.
Published: (2025-07-01) -
SSNFNet: An Enhanced Few-Shot Learning Model for Efficient Poultry Farming Detection
by: Bingli Wang, et al.
Published: (2025-07-01) -
Explainable few-shot learning workflow for detecting invasive and exotic tree species
by: Caroline M. Gevaert, et al.
Published: (2025-07-01) -
Extreme R-CNN: Few-Shot Object Detection via Sample Synthesis and Knowledge Distillation
by: Shenyong Zhang, et al.
Published: (2024-12-01)