PRUNING COMPLEX DEEP LEARNING MODELS BASED ON PARENT PRUNING INFORMATION

    公开(公告)号:US20230153612A1

    公开(公告)日:2023-05-18

    申请号:US18056559

    申请日:2022-11-17

    CPC classification number: G06N3/08

    Abstract: When visiting a child node in a graph corresponding to a deep learning model to analyze the child node for pruning in the deep learning model, data identifying pruning information corresponding to one or more parent nodes may be determined and used to access the pruning information. For example, a list of parent nodes of the parent node may be used to access the pruning information for the visit to the child node. The graph may be explored using recursion to iteratively visit nodes to determine portions of pruning information for pruning a node where a portion of the pruning information determined for prior visits to the nodes may be reused. A layer of the deep learning model including multiple dependent convolutions may be pruned by treating each convolution as a separate node and/or layer.

    GLARE MITIGATION USING IMAGE CONTRAST ANALYSIS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

    公开(公告)号:US20250029357A1

    公开(公告)日:2025-01-23

    申请号:US18901977

    申请日:2024-09-30

    Abstract: In various examples, contrast values corresponding to pixels of one or more images generated using one or more sensors of a vehicle may be computed to detect and identify objects that trigger glare mitigating operations. Pixel luminance values are determined and used to compute a contrast value based on comparing the pixel luminance values to a reference luminance value that is based on a set of the pixels and the corresponding luminance values. A contrast threshold may be applied to the computed contrast values to identify glare in the image data to trigger glare mitigating operations so that the vehicle may modify the configuration of one or more illumination sources so as to reduce glare experienced by occupants and/or sensors of the vehicle.

    Glare mitigation using image contrast analysis for autonomous systems and applications

    公开(公告)号:US12136249B2

    公开(公告)日:2024-11-05

    申请号:US17549418

    申请日:2021-12-13

    Abstract: In various examples, contrast values corresponding to pixels of one or more images generated using one or more sensors of a vehicle may be computed to detect and identify objects that trigger glare mitigating operations. Pixel luminance values are determined and used to compute a contrast value based on comparing the pixel luminance values to a reference luminance value that is based on a set of the pixels and the corresponding luminance values. A contrast threshold may be applied to the computed contrast values to identify glare in the image data to trigger glare mitigating operations so that the vehicle may modify the configuration of one or more illumination sources so as to reduce glare experienced by occupants and/or sensors of the vehicle.

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