Showing 1 open source project for "gap"

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    CFNet

    CFNet

    Training a Correlation Filter end-to-end allows lightweight networks

    ...This allows the tracker to be both computationally efficient and robust to appearance changes such as scale, rotation, and illumination variations. The repository provides pre-trained models, training code, and testing scripts for evaluating the tracker on standard benchmarks. By bridging the gap between correlation filters and deep learning, CFNet provides a foundation for further research in real-time object tracking.
    Downloads: 0 This Week
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