Deep FisherNet for Image Classification.

IEEE Transactions on Neural Networks and Learning Systems(2019)

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摘要
Despite the great success of convolutional neural networks (CNNs) for the image classification task on data sets such as Cifar and ImageNet, CNN's representation power is still somewhat limited in dealing with images that have a large variation in size and clutter, where Fisher vector (FV) has shown to be an effective encoding strategy. FV encodes an image by aggregating local descriptors with a u...
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关键词
Feature extraction,Image representation,Task analysis,Aggregates,Support vector machines,Training,Learning systems
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