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cs.CV2019
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal +2
With surge of available but unlabeled data, Positive Unlabeled (PU) learning is becoming a thriving challenge. This work deals with this demanding task for which recent GAN-based P…
cs.CV2019
Self-supervised classification of dynamic obstacles using the temporal information provided by videos
Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal
Nowadays, autonomous driving systems can detect, segment, and classify the surrounding obstacles using a monocular camera. However, state-of-the-art methods solving these tasks gen…
cs.CV2019
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber +1
Nowadays, supervised deep learning techniques yield the best state-of-the-art prediction performances for a wide variety of computer vision tasks. However, such supervised techniqu…