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siat_scene_vgg_19 model to train MIT indoor 67 has low accuracy

Hello,I've been using your model 'siat_scene_vgg_16.model'. I extract fc6 features and normalize them with L2 -norm. Then I use Linear SVM to train the data. But, I get only 12% accuracy in test datasets. I guess that may be the features extract in fc6 is sparse(i.e. Each of these features has a lot of number 'zero'). How can I solve this problem?

trainval.prototxt

Hi,thanks for you useful model.But I am not so sure for the substracted mean value when training.Can you show me the trainval prototxt?Thanks a lot.

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