Sparse Transformer-Based Sequence Generation for Visual Object Tracking

In visual object tracking, attention mechanisms can flexibly and efficiently handle complex dependencies and global information, which improves tracking accuracy. However, when dealing with scenarios that contain a large amount of background information or other complex information, its global atten...

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Bibliografiske detaljer

Principais autores:	Dan Tian, Dong-Xin Liu, Xiao Wang, Ying Hao
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Attention mechanism sequence generation sparse attention visual object tracking vision transformer
Online adgang:	https://ieeexplore.ieee.org/document/10720760/
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