Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams

no code implementations • 17 Jun 2014 • Adrien Gaidon, Gloria Zen, Jose A. Rodriguez-Serrano

In this paper, we address the problem of self-learning detectors in an autonomous manner, i. e. (i) detectors continuously updating themselves to efficiently adapt to streaming data sources (contrary to transductive algorithms), (ii) without any labeled data strongly related to the target data stream (contrary to self-paced learning), and (iii) without manual intervention to set and update hyper-parameters.

Multi-Task Learning Object +1