This work proses an approach for learning semantic segmentation from only event-based information (event-based cameras).
Noticing that event data naturally highlight moving objects, we propose a posterior attention module that adjusts the standard attention by the prior knowledge provided by event data. The posterior attention module can be readily plugged into many segmentation backbones.
For more details, here is the Paper
Python 3.6+
Pytorch 1.10+
Opencv
Imgaug
Sklearn