Cross and Learn: Cross-Modal Self-Supervision

TitleCross and Learn: Cross-Modal Self-Supervision
Publication TypeConference Paper
Year of Publication2018
AuthorsSayed, N, Brattoli, B, Ommer, B
Conference NameOral at German Conference on Pattern Recognition (GCPR)
Conference LocationStuttgart, Germany
Keywordsaction recognition, cross-modal, image understanding, unsupervised learning
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.

URLhttps://arxiv.org/abs/1811.03879v1
Citation Keysayed:GCPR:2018