Siamese Transformer Network for Real-Time Aerial Object Tracking

Siamese Transformer Network for Real-Time Aerial Object Tracking

Recently, deep learning (DL) based trackers have attracted tremendous interest for their high performance. Despite the remarkable success, most trackers utilizing deep convolution features commonly neglect tracking speed, which is crucial for aerial tracking on mobile devices. In this paper, we prop...

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Bibliographic Details
Main Authors: Haijun Wang, Shengyan Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Aerial object tracking
transformer
self-attention
Siamese network
deep neural network
Online Access:https://ieeexplore.ieee.org/document/9908547/

Internet

https://ieeexplore.ieee.org/document/9908547/

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