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Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

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Abstract

Supervised learning in large discriminative models is a mainstay for modern computer vision. Such an approach necessitates investing in large-scale human-annotated datasets for achieving state-of-the-art results. In turn, the efficacy of supervised learning may be limited by the size of the human annotated dataset. This limitation is pa...More

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Author
Lopes Raphael Gontijo
Lopes Raphael Gontijo
Zoph Barret
Zoph Barret
Shlens Jonathon
Shlens Jonathon
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