@conference {sayed:GCPR:2018,
	title = {Cross and Learn: Cross-Modal Self-Supervision},
	booktitle = {German Conference on Pattern Recognition (GCPR) (Oral)},
	year = {2018},
	address = {Stuttgart, Germany},
	abstract = {In this paper we present a self-supervised method to learn feature representations for different modalities. Based on the observation that cross-modal information has a high semantic meaning we propose a method to effectively exploit this signal. For our method we utilize video data since it is available on a large scale and provides easily accessible modalities given by RGB and optical flow. We demonstrate state-of-the-art performance on highly contested action recognition datasets in the context of self-supervised learning. We also show the transferability of our feature representations and conduct extensive ablation studies to validate our core contributions.},
	keywords = {action recognition, cross-modal, image understanding, unsupervised learning},
	url = {https://arxiv.org/abs/1811.03879v1},
	author = {Sayed, N. and Biagio Brattoli and Bj{\"o}rn Ommer}
}
