A comparison of small sample methods for handshape recognition

Conference paper

We compare a series of models specially tailored for small datasets to improve their performance on handshape recognition tasks. Our findings indicate that Wide- DenseNet without transfer learning and Prototipical Networks with transfer learning provide the best results.