HROM: Learning High-Resolution Representation and Object-Aware Masks for Visual Object Tracking

HROM: Learning High-Resolution Representation and Object-Aware Masks for Visual Object Tracking

Siamese network-based trackers consider tracking as features cross-correlation between the target template and the search region. Therefore, feature representation plays an important role for constructing a high-performance tracker. However, all existing Siamese networks extract the deep but low-res...

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Bibliographic Details
Main Authors: Dawei Zhang, Zhonglong Zheng, Tianxiang Wang, Yiran He
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Siamese network
high-resolution representation
multi-scale fusion
visual tracking
attention mechanisms
deformable convolution
Online Access:https://www.mdpi.com/1424-8220/20/17/4807

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