NTechLAB facenx_large Google FaceNet v8 Beijing Faceall Co. FaceAll_Norm_1600 Beijing Faceall Co. FaceAll_1600 large 73.300% 70.496% 64.803% 63.977% 85.081% 86.473% 67.118% 63.960% Barebones_FR cnn NTechLAB facenx_small 3DiVi Company – tdvm6 small 59.363% 58.218% 33.705% 59.036% 66.366% 36.927% model AModel BModel C(Proposed) small 41.863% 57.175% 65.234% 41.297% 69.897% 76.516% Method Protocol Identification Acc. (Set 1) Verification Acc. (Set 1) For generic object, scene or action recognition. The deeply learned features need to be separable. Because the classes of the possible testing samples are within the training set, the predicted labels dominate the performance.