DVTrack: Deformable Vision Transformer for Visual Object Tracking

We present DVTrack, a visual object tracking method that leverages a Deformable Attention Transformer (DAT) to jointly improve efficiency and accuracy. Recent Transformer-based trackers typically rely on dense global attention over all image tokens, which incurs high computational cost due to redund...

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Dettagli Bibliografici

Autori principali:	Sumin Kim, Youngbae Hwang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Access
Soggetti:	Visual object tracking deformable attention transformer vision transformer Siamese network
Accesso online:	https://ieeexplore.ieee.org/document/11432827/
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