SiamFFN: Siamese Feature Fusion Network for Visual Tracking
Siamese network-based trackers have developed rapidly in the field of visual object tracking recently. Many Siamese network-based trackers currently in use rely on result fusion to combine the classification result map and regression result map. However, these result maps are obtained from the multi...
Main Authors: | Jiahao Bao, Menglong Yan, Yiran Yang, Kaiqiang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/7/1568 |
Similar Items
-
SiamHSFT: A Siamese Network-Based Tracker with Hierarchical Sparse Fusion and Transformer for UAV Tracking
by: Xiuhua Hu, et al.
Published: (2023-10-01) -
Siamese Visual Tracking With Deep Features and Robust Feature Fusion
by: Daqun Li, et al.
Published: (2020-01-01) -
Dual-Template Siamese Network with Attention Feature Fusion for Object Tracking
by: M. H. Liu, et al.
Published: (2023-09-01) -
SiamMFC: Visual Object Tracking Based on Mainfold Full Convolution Siamese Network
by: Jia Chen, et al.
Published: (2021-09-01) -
Siamese Visual Tracking With Residual Fusion Learning
by: Xinglong Sun, et al.
Published: (2022-01-01)