Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs

Our aim is to provide a pixel-wise instance-level labeling of a monocular image in the context of autonomous driving. We build on recent work [32] that trained a convolutional neural net to predict instance labeling in local image patches, extracted exhaustively in a stride from an image. A simple Markov random field model using several heuristics was then… (More)

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Averaging 18 citations per year over the last 3 years.

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