Unsupervised part representation by Flow Capsules
Unsupervised part representation by flow capsules
目录
Motivation
- capsule networks不能高效地学到low level的part descriptions
- exploit motion as a powerful perceptual cue for part definition
用运动作为一个部件定义的有力的感知线索
results
- 从复杂背景中找出来原来的三角形、正方形、圆形等
- 对于运动的人学出来的部件