Efficient siamese single object tracking based on hybrid feature fusion
Image Processing|更新时间:2025-08-13
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Efficient siamese single object tracking based on hybrid feature fusion
“In the field of single target tracking, researchers have proposed an efficient tracking method based on twin networks, using MobileNet-V3 as the backbone network and designing a hybrid feature fusion module to effectively improve tracking performance.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 8, Pages: 1219-1232(2025)
作者机构:
西安邮电大学 通信与信息工程学院, 陕西 西安 710121
作者简介:
基金信息:
Shaanxi Provincal Key Research and Development Program for Future Emerging Industries(2025CY-YBXM-003)
LI Na, PAN Jinting, LI Rongji, et al. Efficient siamese single object tracking based on hybrid feature fusion[J]. Chinese journal of liquid crystals and displays, 2025, 40(8): 1219-1232.
DOI:
LI Na, PAN Jinting, LI Rongji, et al. Efficient siamese single object tracking based on hybrid feature fusion[J]. Chinese journal of liquid crystals and displays, 2025, 40(8): 1219-1232. DOI: 10.37188/CJLCD.2025-0097. CSTR: 32172.14.CJLCD.2025-0097.
Efficient siamese single object tracking based on hybrid feature fusion