Interpolating convolutional neural networks using batch normalization
Perceiving a visual concept as a mixture of learned ones is natural for humans, aiding them to grasp new concepts and strengthening old ones. For all their power and recent success, deep convolutional networks do not have this ability. Inspired by recent work on universal representations for neural...
| Main Authors: | , , , |
|---|---|
| 格式: | Conference item |
| 出版: |
Springer
2018
|