公开(公告)号：US20200334501A1

公开(公告)日：2020-10-22

申请号：US16388115

申请日：2019-04-18

Applicant: ADOBE INC

Inventor： ZHE LIN ,  MINGYANG LING ,  JIANMING ZHANG ,  JASON KUEN ,  FEDERICO PERAZZI ,  BRETT BUTTERFIELD ,  BALDO FAIETA

IPC: G06K9/62 ,  G06N3/08 ,  G06K9/34

Abstract: Systems and methods are described for object detection within a digital image using a hierarchical softmax function. The method may include applying a first softmax function of a softmax hierarchy on a digital image based on a first set of object classes that are children of a root node of a class hierarchy, then apply a second (and subsequent) softmax functions to the digital image based on a second (and subsequent) set of object classes, where the second (and subsequent) object classes are children nodes of an object class from the first (or parent) object classes. The methods may then include generating an object recognition output using a convolutional neural network (CNN) based at least in part on applying the first and second (and subsequent) softmax functions. In some cases, the hierarchical softmax function is the loss function for the CNN.