Dynamic Orthogonal Projection Constrained Discriminative Tracking
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DOI: 10.1109/lsp.2022.3150984
Abstract: Due to the end-to-end feature learning with convolutional neural networks (CNNs), modern discriminative trackers improve the state of the art significantly. To achieve a strong discrimination, the learned features are usually high-dimensional, resulting in a… read more here.
Keywords: dynamic orthogonal; constrained discriminative; discriminative model; projection constrained ... See more keywords