Three-stage cascade architecture-based siamese sliding window network algorithm for object tracking

Three-stage cascade architecture-based siamese sliding window network algorithm for object tracking

To enhance the correlation of feature information and enrich the pattern of cross-correlation metrics, we propose the Siam ST algorithm, which is based on a three-stage cascade (TSC) architecture. The sliding window is introduced in the last three layers of convolution blocks, which can obtain the g...

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Bibliographic Details
Main Authors: Zheng Yang, Kaiwen Liu, Quanlong Li, Yandong Hou, Zhiyu Yan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Single object tracking
Deep learning
Siamese networks
Sliding window
Three-level cascade
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024176438
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