METHODS AND APPARATUS FOR EXPLAINABLE MULTI-SCALE GAUSSIAN MIXTURE MODEL DISTANCE

    公开(公告)号:US20240320953A1

    公开(公告)日:2024-09-26

    申请号:US18677473

    申请日:2024-05-29

    CPC classification number: G06V10/761 G06V10/462

    Abstract: An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to access a first saliency map and a second saliency map associated with an image dataset, encode pixel-level intensity of the first saliency map, encode pixel-level intensity of the second saliency map, generate a saliency comparison metric based on the pixel-level intensity of the first saliency map and the pixel-level intensity of the second saliency map, and compare spatial properties of the first saliency map and the second saliency map using the saliency comparison metric.

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