A dynamic matching-classification switching framework is proposed to effectively integrate the matching, classification and verification networks.
First, we propose a matching-classification network switching (MCS) framework to integrate the matching, classification, verification networks and conduct ...
Visual tracking by dynamic matching-classification network ...
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First, we propose a matching-classification network switching (MCS) framework to integrate the matching, classification, verification networks and conduct ...
Jul 12, 2019 · In this paper, we propose a dynamic memory network to adapt the template to the target's appearance variations during tracking. The reading and ...
Missing: switching. | Show results with:switching.
In this paper, we propose a dynamic memory network with an external addressable memory block for visual tracking, aiming to adapt matching templates to object ...
Missing: switching. | Show results with:switching.
GradNet: Gradient-guided network for visual object tracking. P Li, B ... Visual tracking by dynamic matching-classification network switching. P Li, B ...
"Learn to Match: Automatic Matching Network Design for Visual Tracking. ... "Learning Dynamic Siamese Network for Visual Object Tracking." ICCV (2017) ...
Our model, employing the automatically searched matching networks, can better handle different challenging factors, e.g., distractor in the first video, occlu-.
Missing: switching. | Show results with:switching.
GradNet: Gradient-guided network for visual object tracking. P Li, B ... Visual tracking by dynamic matching-classification network switching. P Li, B ...
Feb 27, 2024 · In this paper, we present a novel anchor-free visual tracking framework, referred to as feature dynamic activation siamese network (SiamFDA) ...
Missing: switching. | Show results with:switching.