Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding

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Optical Flow with Semantic Segmentation and Localized Layers (2016, background): “Recent work uses semantic segmentation to resolve ambiguities in stereo [15], to guide 3D reconstruction [16, 29], and to constrain the motion of the 3D scene by enforcing class label coherence over time [44].”
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy (2016, methodology): “For each camera-frame point C t p i t , we take an approach inspired by “stixels” [29], [32] and label all pixels in the image on and above the point as an obstacle.”
Deep hierarchical parsing for semantic segmentation (2015, background): “All the results in Table 3, including [9, 18], ignore the background class for a fair eval-”
The Cityscapes Dataset (2015, background): “, [7, 18, 22]) and more challenging datasets have been created to push forward the development of these approaches.”