Visual tracking by matching points using diffusion model

Existing Siamese and Transformer-based trackers commonly approach Visual Object Tracking (VOT) as a one-shot detection problem, where the target object is located in a single forward evaluation. While effective, this approach lacks self-correction mechanisms, making these trackers prone to drifting...

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Bibliografske podrobnosti

Principais autores:	Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-08-01
Serija:	Alexandria Engineering Journal
Teme:	Diffusion models Segmentation Segment Anything 2 (SAM2) Visual Object Tracking (VOT)
Online dostop:	http://www.sciencedirect.com/science/article/pii/S1110016825007914
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