Labelling a Stereo Event Dataset in Indoor Scenes for Segmentation Tasks

Lots of well-labelled data are needed to utilize and understand new types of sensors such as event camera systems. To reduce the effort for labelling dataset, we utilized a Swin transformer as a backbone and a transformer decoder with mask attention for segmentation tasks. More and more labelled data has been collected by just selecting well-labelled data and fine-tuning from the collected ones iteratively. Stereo event datasets are being built by non-experts by labelling them via fine-tuning on Swin transformer backbone and a pre-trained transformer decoder. So far one-fifth of the images collected by a traditional camera aligned with the stereo event camera system have been accepted as properly labelled data.