MODEL COMPRESSION IN BINARY CODED IMAGE BASED OBJECT DETECTION
    1.
    发明申请
    MODEL COMPRESSION IN BINARY CODED IMAGE BASED OBJECT DETECTION 有权
    基于二进制编码图像的物体检测中的模型压缩

    公开(公告)号:US20160171344A1

    公开(公告)日:2016-06-16

    申请号:US14567147

    申请日:2014-12-11

    Abstract: Techniques related to object detection using binary coded images are discussed. Such techniques may include performing object detection based on multiple spatial correlation mappings between a generated binary coded image and a binary coded image based object detection model and nesting look up tables such that binary coded representations are grouped and such groups are associated with confidence values for performing object detection.

    Abstract translation: 讨论与使用二进制编码图像的对象检测相关的技术。 这样的技术可以包括基于生成的二进制编码图像和基于二进制编码图像的对象检测模型和嵌套查找表之间的多个空间相关性映射执行对象检测,使得二进制编码表示被分组,并且这些组与用于执行的置信度值相关联 物体检测。

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