Invention Application
US20160307072A1 Fine-grained Image Classification by Exploring Bipartite-Graph Labels
审中-公开
通过探索双边图标签进行细粒度图像分类
- Patent Title: Fine-grained Image Classification by Exploring Bipartite-Graph Labels
- Patent Title (中): 通过探索双边图标签进行细粒度图像分类
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Application No.: US15095260Application Date: 2016-04-11
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Publication No.: US20160307072A1Publication Date: 2016-10-20
- Inventor: Feng Zhou , Yuanqing Lin
- Applicant: NEC Laboratories America, Inc.
- Main IPC: G06K9/66
- IPC: G06K9/66 ; G06T7/00 ; G06K9/62

Abstract:
Systems and methods are disclosed for deep learning and classifying images of objects by receiving images of objects for training or classification of the objects; producing fine-grained labels of the objects; providing object images to a multi-class convolutional neural network (CNN) having a softmax layer and a final fully connected layer to explicitly model bipartite-graph labels (BGLs); and optimizing the CNN with global back-propagation.
Public/Granted literature
- US10074041B2 Fine-grained image classification by exploring bipartite-graph labels Public/Granted day:2018-09-11
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