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facebookarchive / C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.
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Low acc using extract_image_features.bin of v1.1 #350

Open sherleens opened 6 years ago

sherleens commented 6 years ago

Hi, I use v1.0 extract_image_features.bin to extract prob and get the same accuracy (39%) as the test.bin (40%). But I get much lower accuracy (11%) than the test.bin (39%) when I use extract_image_features.bin from v1.1. All the steps are same: same data - >same train/test split->training->testing->extracting features. Do you any idea ?

xuyunlu1030 commented 6 years ago

The same problem and wonder why! I guess the acc(40) from v1.0 is normal and it can be higher if using SVM following the features but the acc(11%) from v1.1 is quite confusing. Please let me know if you have any idea.

dutran commented 6 years ago

@sherleens Can you check if you turn of batch-norm to to use_global_statistics: true, v1.0 has no batch norm while 1.1 does