Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
CoRR, Volume abs/1604.01545, 2016.
In this work we investigate the problem of road scene semantic segmentation using Deconvolutional Networks (DNs). Several constraints limit the practical performance of DNs in this context: firstly, the paucity of existing pixel-wise labelled training data, and secondly, the memory constraints of embedded hardware, which rule out the pr...More
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