SiamCTCA: Cross-Temporal Correlation Aggregation Siamese Network for UAV Tracking
In aerial target-tracking research, complex scenarios place extremely high demands on the precision and robustness of tracking algorithms. Although the existing target-tracking algorithms have achieved good performance in general scenarios, all of them ignore the correlation between contextual infor...
Saved in:
| Main Authors: | Qiaochu Wang, Faxue Liu, Bao Zhang, Jinghong Liu, Fang Xu, Yulong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/9/4/294 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SiamAHG: adaptive hierarchical graph attention for lightweight siamese tracking
by: Na Li, et al.
Published: (2025-05-01) -
Lightweight Siamese Network with Global Correlation for Single-Object Tracking
by: Yuxuan Ding, et al.
Published: (2024-12-01) -
SiamRhic: Improved Cross-Correlation and Ranking Head-Based Siamese Network for Object Tracking in Remote Sensing Videos
by: Afeng Yang, et al.
Published: (2024-12-01) -
Siamese Network-Based Lightweight Framework for Tomato Leaf Disease Recognition
by: Selvarajah Thuseethan, et al.
Published: (2024-12-01) -
Enhancing the Scale Adaptation of Global Trackers for Infrared UAV Tracking
by: Zicheng Feng, et al.
Published: (2025-07-01)