In conjuction with the conference on Computer Vision and Pattern Recognition (CVPR) 2022, we are organizing the 7th Workshop on Benchmarking Multi-Target Tracking!
Synthetic data has the potential to enable the next generation of deep learning algorithms to thrive on unprecedented amounts of free labelled data while avoiding privacy and dataset bias concerns. As recently shown in our MOTSynth work, models trained on synthetic data can already achieve competitive performance when tested on real datasets.
At the 7th BMTT workshop, we aim to bring the tracking community together to further explore the potential of synthetic data. We have an exciting line-up of speakers, and are organizing two challenges aiming to advance the state-of-the-art in synthetic-to-real tracking.