MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images
Abstract Object detection from the perspective of unmanned aerial vehicles (UAV) is a technology that utilizes visual sensors mounted on UAV to automatically identify and locate ground targets. However, due to the small size of targets captured by UAV, along with challenges such as scale variation a...
Saved in:
| Main Authors: | Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01901-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UAV Small Target Detection Model Based on Dual Branches and Adaptive Feature Fusion
by: Guogang Wang, et al.
Published: (2025-07-01) -
Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny
by: Yuyang Miao, et al.
Published: (2024-12-01) -
Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion
by: Xingyu Di, et al.
Published: (2025-06-01) -
YOLO-Pika: a lightweight improved model of YOLOv8n incorporating Fusion_Block and multi-scale fusion FPN and its application in the precise detection of plateau pikas
by: Yihao Liu, et al.
Published: (2025-08-01) -
AJANet: SAR Ship Detection Network Based on Adaptive Channel Attention and Large Separable Kernel Adaptation
by: Yishuang Chen, et al.
Published: (2025-05-01)