DPT‐tracker: Dual pooling transformer for efficient visual tracking
Yang Fang,
Bailian Xie,
Uswah Khairuddin
et al.
Abstract:Transformer tracking always takes paired template and search images as encoder input and conduct feature extraction and target‐search feature correlation by self and/or cross attention operations, thus the model complexity will grow quadratically with the number of input images. To alleviate the burden of this tracking paradigm and facilitate practical deployment of Transformer‐based trackers, we propose a dual pooling transformer tracking framework, dubbed as DPT, which consists of three components: a simple … Show more
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