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View Code? Open in Web Editor NEWPlaces205-VGGNet models for scene recognition
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kli-casia xuguozhi anazou vzvzx ilovecv caomw yingjieyao guoshengcv gongenhao lijiannuist bupt-huxz milestonesvn livst chenbangfeng srikanthmg85 elegantgod chloeehkim neuralnetworkingtechnologies feitiandemiaomi hbcbh1999 xiaoanshi hesansan nchucv celestializedplaces205-vggnet's Issues
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Performance on the MIT67 and SUN397 dataset
I am a little confused about the performance on the MIT67 and SUN397 dataset, Is that TOP 1 or TOP 5 rates?
Caffemodels and prototxts for MIT67 and SUN397 datasets
Can you also share the models and prototxts for MIT67 and SUN397 datasets?
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.
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?
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