Non-binary deep transfer learning for image classification

Benchmark Model Rank Results
fine-grained-image-classification-on-fgvcInceptionv4#3Accuracy: 95.11
fine-grained-image-classification-on-stanfordInceptionv4#12Accuracy: 95.35%
image-classification-on-caltech-256Inceptionv4#2Accuracy: 85.94
image-classification-on-caltech-256Inceptionv4 (random initialization)#3Accuracy: 67.2
image-classification-on-dtdInceptionv4#7Accuracy: 79.79
image-classification-on-dtdInceptionv4 (random initialization)#11Accuracy: 66.8