Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction

[JisuHann]

Goal

: instance segmentation of unknown object

Idea

1. transfer learning approach for robots that learn to segment objects by interacting with their environment in a self-supervised manner
2. Fine-tune an existing DeepMask network for instance segmentation on the self-labeled training data acquired by the robot